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\n  \n 2024\n \n \n (34)\n \n \n
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\n \n\n \n \n \n \n \n \n Approximate sequential optimization for informative path planning.\n \n \n \n \n\n\n \n Ott, J.; Kochenderfer, M. J.; and Boyd, S.\n\n\n \n\n\n\n arxiv. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"ApproximatePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 16 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Ott2024,\n  author  = {Joshua Ott and Mykel J. Kochenderfer and Stephen Boyd},\n  journal = arxiv,\n  title   = {Approximate sequential optimization for informative path planning},\n  year    = {2024},\n  url     = {https://arxiv.org/abs/2402.08841},\n}\n\n
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\n \n\n \n \n \n \n \n Bayesian safety validation for failure probability estimation of black-box systems.\n \n \n \n\n\n \n Moss, R. J.; Kochenderfer, M. J.; Gariel, M.; and Dubois, A.\n\n\n \n\n\n\n Journal of Aerospace Information Systems. 2024.\n \n\n\n\n
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@Article{Moss2024,\n  author  = {Robert J. Moss and Mykel J. Kochenderfer and Maxime Gariel and Arthur Dubois},\n  journal = jais,\n  title   = {Bayesian safety validation for failure probability estimation of black-box systems},\n  year    = {2024},\n}\n\n
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\n \n\n \n \n \n \n \n Addressing myopic constrained POMDP planning with recursive dual ascent.\n \n \n \n\n\n \n Stocco, P.; Chundi, S.; Jamgochian, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Automated Planning and Scheduling (ICAPS), 2024. \n \n\n\n\n
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@InProceedings{Stocco2024,\n  author    = {Paula Stocco and Suhas Chundi and Arec Jamgochian and Mykel J. Kochenderfer},\n  booktitle = icaps,\n  title     = {Addressing myopic constrained {POMDP} planning with recursive dual ascent},\n  year      = {2024},\n}\n\n
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\n \n\n \n \n \n \n \n \n Constrained hierarchical Monte Carlo belief-state planning.\n \n \n \n \n\n\n \n Jamgochian, A.; Buurmeijer, H.; Wray, K.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2024. \n \n\n\n\n
\n\n\n\n \n \n \"ConstrainedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Jamgochian2024,\n  author    = {Arec Jamgochian and Hugo Buurmeijer and Kyle Wray and Anthony Corso and Mykel J. Kochenderfer},\n  booktitle = icra,\n  title     = {Constrained hierarchical {M}onte {C}arlo belief-state planning},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2310.20054},\n}\n\n
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\n \n\n \n \n \n \n \n \n Scene informer: anchor-based occlusion inference and trajectory prediction in partially observable environments.\n \n \n \n \n\n\n \n Lange, B.; Li, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2024. \n \n\n\n\n
\n\n\n\n \n \n \"ScenePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Lange2024icra,\n  author    = {Bernard Lange and Jiachen Li and Mykel J. Kochenderfer},\n  booktitle = icra,\n  title     = {Scene informer: anchor-based occlusion inference and trajectory prediction in partially observable environments},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2309.13893},\n}\n\n
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\n \n\n \n \n \n \n \n \n Disentangled Neural Relational Inference for Interpretable Motion Prediction.\n \n \n \n \n\n\n \n Dax, V. M.; Li, J.; Sachdeva, E.; Agarwal, N.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters, 9(2): 1452–1459. 2024.\n \n\n\n\n
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@Article{Dax2024,\n  author  = {Dax, Victoria M. and Li, Jiachen and Sachdeva, Enna and Agarwal, Nakul and Kochenderfer, Mykel J.},\n  journal = {IEEE Robotics and Automation Letters},\n  title   = {Disentangled Neural Relational Inference for Interpretable Motion Prediction},\n  year    = {2024},\n  number  = {2},\n  pages   = {1452--1459},\n  volume  = {9},\n  doi     = {10.1109/lra.2023.3342554},\n  url     = {https://arxiv.org/abs/2401.03599},\n}\n\n
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\n \n\n \n \n \n \n \n \n Rank2Tell: A multimodal driving dataset for joint importance ranking and reasoning.\n \n \n \n \n\n\n \n Sachdeva, E.; Agarwal, N.; Chundi, S.; Roelofs, S.; Li, J.; Kochenderfer, M. J.; Choi, C.; and Dariush, B.\n\n\n \n\n\n\n In Winter Conference on Applications of Computer Vision, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"Rank2Tell:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Sachdeva2024,\n  author    = {Enna Sachdeva and Nakul Agarwal and Suhas Chundi and Sean Roelofs and Jiachen Li and Mykel J. Kochenderfer and Chiho Choi and Behzad Dariush},\n  booktitle = {Winter Conference on Applications of Computer Vision},\n  title     = {{Rank2Tell}: A multimodal driving dataset for joint importance ranking and reasoning},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2309.06597},\n}\n\n
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\n \n\n \n \n \n \n \n \n Predicting future spatiotemporal occupancy grids with semantics for autonomous driving.\n \n \n \n \n\n\n \n Toyungyernsub, M.; Yel, E.; Li, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2024. \n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Toyungyernsub2024,\n  author    = {Maneekwan Toyungyernsub and Esen Yel and Jiachen Li and Mykel J. Kochenderfer},\n  booktitle = iv,\n  title     = {Predicting future spatiotemporal occupancy grids with semantics for autonomous driving},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2310.01723},\n}\n\n
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\n \n\n \n \n \n \n \n \n SEEK: Semantic reasoning for object goal navigation in real world inspection tasks.\n \n \n \n \n\n\n \n Ginting, M. F.; Kim, S.; Fan, D. D.; Palieri, M.; Kochenderfer, M. J.; and Agha-Mohammadi, A.\n\n\n \n\n\n\n In Robotics: Science and Systems, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"SEEK:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ginting2024rss,\n  author    = {Muhammad Fadhil Ginting and Sung-Kyun Kim and David D. Fan and Matteo Palieri and Mykel J. Kochenderfer and Ali-akbar Agha-Mohammadi},\n  booktitle = rss,\n  title     = {{SEEK}: {S}emantic reasoning for object goal navigation in real world inspection tasks},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2405.09822},\n}\n\n
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\n \n\n \n \n \n \n \n \n Interactive autonomous navigation with internal state inference and interactivity estimation.\n \n \n \n \n\n\n \n Li, J.; Isele, D.; Lee, K.; Park, J.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Robotics,1–18. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"InteractivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Li2024,\n  author  = {Li, Jiachen and Isele, David and Lee, Kanghoon and Park, Jinkyoo and Fujimura, Kikuo and Kochenderfer, Mykel J.},\n  journal = {IEEE Transactions on Robotics},\n  title   = {Interactive autonomous navigation with internal state inference and interactivity estimation},\n  year    = {2024},\n  pages   = {1--18},\n  doi     = {10.1109/tro.2024.3400937},\n  url     = {https://arxiv.org/abs/2311.16091},\n}\n\n
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\n \n\n \n \n \n \n \n \n BetaZero: Belief-state planning for long-horizon POMDPs using learned approximations.\n \n \n \n \n\n\n \n Moss, R. J.; Corso, A.; Caers, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Reinforcement Learning Conference, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"BetaZero:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Moss2024rlc,\n  author    = {Robert J. Moss and Anthony Corso and Jef Caers and Mykel J. Kochenderfer},\n  booktitle = {Reinforcement Learning Conference},\n  title     = {Beta{Z}ero: {B}elief-state planning for long-horizon {POMDP}s using learned approximations},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2306.00249},\n}\n\n
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\n \n\n \n \n \n \n \n \n ConstrainedZero: Chance-constrained POMDP planning using learned probabilistic failure surrogates and adaptive safety constraints.\n \n \n \n \n\n\n \n Moss, R. J.; Jamgochian, A.; Fischer, J.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Joint Conference on Artificial Intelligence (IJCAI), 2024. \n \n\n\n\n
\n\n\n\n \n \n \"ConstrainedZero:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Moss2024ijcai,\n  author    = {Robert J. Moss and Arec Jamgochian and Johannes Fischer and Anthony Corso and Mykel J. Kochenderfer},\n  booktitle = ijcai,\n  title     = {Constrained{Z}ero: {C}hance-constrained {POMDP} planning using learned probabilistic failure surrogates and adaptive safety constraints},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2405.00644},\n}\n\n
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\n \n\n \n \n \n \n \n \n Trajectory optimization for adaptive informative path planning with multimodal sensing.\n \n \n \n \n\n\n \n Ott, J.; Balaban, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In codit, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"TrajectoryPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 11 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ott2024ipp,\n  author    = {Joshua Ott and Edward Balaban and Mykel J. Kochenderfer},\n  booktitle = codit,\n  title     = {Trajectory optimization for adaptive informative path planning with multimodal sensing},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2404.18374},\n}\n\n
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\n \n\n \n \n \n \n \n \n Risk-aware meta-level decision making for exploration under uncertainty.\n \n \n \n \n\n\n \n Ott, J.; Kim, S.; Bouman, A.; Peltzer, O.; Sobue, M.; Delecki, H.; Kochenderfer, M. J.; Burdick, J.; and Agha-mohammadi, A.\n\n\n \n\n\n\n In codit, 2024. \n \n\n\n\n
\n\n\n\n \n \n \"Risk-awarePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ott2024meta,\n  author    = {Joshua Ott and Sung-Kyun Kim and Amanda Bouman and Oriana Peltzer and Mamoru Sobue and Harrison Delecki and Mykel J. Kochenderfer and Joel Burdick and Ali-akbar Agha-mohammadi},\n  booktitle = codit,\n  title     = {Risk-aware meta-level decision making for exploration under uncertainty},\n  year      = {2024},\n  url       = {https://arxiv.org/abs/2209.05580},\n}\n\n
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\n \n\n \n \n \n \n \n Catnips: Collision avoidance through neural implicit probabilistic scenes.\n \n \n \n\n\n \n Chen, T.; Culbertson, P.; and Schwager, M.\n\n\n \n\n\n\n IEEE Transactions on Robotics. 2024.\n \n\n\n\n
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@article{chen2024catnips,\n\tauthor = {Chen, Timothy and Culbertson, Preston and Schwager, Mac},\n\tdate-added = {2024-05-27 12:30:23 -0700},\n\tdate-modified = {2024-05-27 12:30:23 -0700},\n\tjournal = {IEEE Transactions on Robotics},\n\tpublisher = {IEEE},\n\ttitle = {Catnips: Collision avoidance through neural implicit probabilistic scenes},\n\tyear = {2024}\n}\n\n
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\n \n\n \n \n \n \n \n Conformal prediction for uncertainty-aware planning with diffusion dynamics model.\n \n \n \n\n\n \n Sun, J.; Jiang, Y.; Qiu, J.; Nobel, P.; Kochenderfer, M. J; and Schwager, M.\n\n\n \n\n\n\n Advances in Neural Information Processing Systems, 36. 2024.\n \n\n\n\n
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@article{sun2024conformal,\n\tauthor = {Sun, Jiankai and Jiang, Yiqi and Qiu, Jianing and Nobel, Parth and Kochenderfer, Mykel J and Schwager, Mac},\n\tdate-added = {2024-05-27 12:25:36 -0700},\n\tdate-modified = {2024-05-27 12:25:36 -0700},\n\tjournal = {Advances in Neural Information Processing Systems},\n\ttitle = {Conformal prediction for uncertainty-aware planning with diffusion dynamics model},\n\tvolume = {36},\n\tyear = {2024}\n}\n\n
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\n \n\n \n \n \n \n \n Online Path Repair: Adapting to Robot Failures in Multi-Robot Aerial Surveys.\n \n \n \n\n\n \n Clark, J.; Shah, K.; and Schwager, M.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters, 9(3): 2319-2326. 2024.\n \n\n\n\n
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@article{Clark2024,\n\tauthor = {Clark, Jaden and Shah, Kunal and Schwager, Mac},\n\tdate-added = {2024-05-27 12:24:39 -0700},\n\tdate-modified = {2024-05-27 12:25:11 -0700},\n\tdoi = {10.1109/LRA.2024.3355730},\n\tjournal = {IEEE Robotics and Automation Letters},\n\tnumber = {3},\n\tpages = {2319-2326},\n\ttitle = {Online Path Repair: Adapting to Robot Failures in Multi-Robot Aerial Surveys},\n\tvolume = {9},\n\tyear = {2024}\n}\n\n
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\n \n\n \n \n \n \n \n Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps.\n \n \n \n\n\n \n Chen, T.; Shorinwa, O.; Zeng, W.; Bruno, J.; Dames, P.; and Schwager, M.\n\n\n \n\n\n\n arXiv preprint arXiv:2403.02751. 2024.\n \n\n\n\n
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@article{chen2024splat,\n\tauthor = {Chen, Timothy and Shorinwa, Ola and Zeng, Weijia and Bruno, Joseph and Dames, Philip and Schwager, Mac},\n\tdate-added = {2024-05-27 12:30:04 -0700},\n\tdate-modified = {2024-05-27 12:30:04 -0700},\n\tjournal = {arXiv preprint arXiv:2403.02751},\n\ttitle = {Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps},\n\tyear = {2024}\n}\n\n
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\n \n\n \n \n \n \n \n State Estimation and Belief Space Planning Under Epistemic Uncertainty for Learning-Based Perception Systems.\n \n \n \n\n\n \n Nagami, K.; and Schwager, M.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters, 9(6): 5118-5125. 2024.\n \n\n\n\n
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@article{Nagami2024state,\n\tauthor = {Nagami, Keiko and Schwager, Mac},\n\tdate-added = {2024-05-27 12:30:45 -0700},\n\tdate-modified = {2024-05-27 12:31:46 -0700},\n\tdoi = {10.1109/LRA.2024.3387139},\n\tjournal = {IEEE Robotics and Automation Letters},\n\tnumber = {6},\n\tpages = {5118-5125},\n\ttitle = {State Estimation and Belief Space Planning Under Epistemic Uncertainty for Learning-Based Perception Systems},\n\tvolume = {9},\n\tyear = {2024}\n}\n\n
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\n \n\n \n \n \n \n \n \n Marabou 2.0: A Versatile Formal Analyzer of Neural Networks.\n \n \n \n \n\n\n \n Wu, H.; Isac, O.; Zeljić, A.; Tagomori, T.; Daggitt, M.; Kokke, W.; Refaeli, I.; Amir, G.; Julian, K.; Bassan, S.; Huang, P.; Lahav, O.; Wu, M.; Zhang, M.; Komendantskaya, E.; Katz, G.; and Barrett, C.\n\n\n \n\n\n\n In Gurfinkel, A.; and Ganesh, V., editor(s), Proceedings of the $36^{th}$ International Conference on Computer Aided Verification (CAV '24), of Lecture Notes in Computer Science, July 2024. Springer\n Montreal, Canada\n\n\n\n
\n\n\n\n \n \n \"MarabouPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{WIZ+24,\n  url       = "https://arxiv.org/abs/2401.14461",\n  author    = "Haoze Wu and Omri Isac and Aleksandar Zelji{\\'{c}} and Teruhiro Tagomori and Matthew Daggitt and Wen Kokke and Idan Refaeli and Guy Amir and Kyle Julian and Shahaf Bassan and Pei Huang and Ori Lahav and Min Wu and Min Zhang and Ekaterina Komendantskaya and Guy Katz and Clark Barrett",\n  title     = "Marabou 2.0: A Versatile Formal Analyzer of Neural Networks", \n  booktitle = "Proceedings of the $36^{th}$ International Conference on Computer Aided Verification (CAV '24)",\n  series    = "Lecture Notes in Computer Science",\n  publisher = "Springer",\n  editor    = "Gurfinkel, Arie and Ganesh, Vijay",\n  month     = jul,\n  year      = 2024,\n  note      = "Montreal, Canada",\n  category  = "Conference Publications",\n  abstract  = "This paper serves as a comprehensive system description of\n                  version 2.0 of the Marabou framework for formal analysis of\n                  neural networks. We discuss the tool's architectural design\n                  and highlight the major features and components introduced\n                  since its initial release."\n}\n\n
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\n This paper serves as a comprehensive system description of version 2.0 of the Marabou framework for formal analysis of neural networks. We discuss the tool's architectural design and highlight the major features and components introduced since its initial release.\n
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\n \n\n \n \n \n \n \n \n Towards Efficient Verification of Quantized Neural Networks.\n \n \n \n \n\n\n \n Huang, P.; Wu, H.; Yang, Y.; Daukantas, I.; Wu, M.; Zhang, Y.; and Barrett, C.\n\n\n \n\n\n\n In Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 21152–21160, February 2024. \n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{HWY+24,\n  url       = "https://arxiv.org/abs/2312.12679",\n  author    = "Huang, Pei and Wu, Haoze and Yang, Yuting and Daukantas, Ieva and Wu, Min and Zhang, Yedi and Barrett, Clark",\n  title     = "Towards Efficient Verification of Quantized Neural Networks",\n  booktitle = "Proceedings of the AAAI Conference on Artificial Intelligence",\n  volume    = 38,\n  number    = 19,\n  pages     = "21152--21160",\n  month     = feb,\n  year      = 2024,\n  category  = "Conference Publications",\n  abstract  = "Quantization replaces floating point arithmetic with integer\n                  arithmetic in deep neural network models, providing more\n                  efficient on-device inference with less power and memory. In\n                  this work, we propose a framework for formally verifying\n                  properties of quantized neural networks. Our baseline\n                  technique is based on integer linear programming which\n                  guarantees both soundness and completeness. We then show how\n                  efficiency can be improved by utilizing gradient-based\n                  heuristic search methods and also bound-propagation\n                  techniques. We evaluate our approach on perception networks\n                  quantized with PyTorch. Our results show that we can verify\n                  quantized networks with better scalability and efficiency\n                  than the previous state of the art."\n}\n\n\n
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\n Quantization replaces floating point arithmetic with integer arithmetic in deep neural network models, providing more efficient on-device inference with less power and memory. In this work, we propose a framework for formally verifying properties of quantized neural networks. Our baseline technique is based on integer linear programming which guarantees both soundness and completeness. We then show how efficiency can be improved by utilizing gradient-based heuristic search methods and also bound-propagation techniques. We evaluate our approach on perception networks quantized with PyTorch. Our results show that we can verify quantized networks with better scalability and efficiency than the previous state of the art.\n
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\n \n\n \n \n \n \n \n Markovian Agents for Truthful Language Modeling.\n \n \n \n\n\n \n Viteri, S.; Lamparth, M.; Chatain, P.; and Barrett, C.\n\n\n \n\n\n\n arXiv preprint arXiv:2404.18988. 2024.\n \n\n\n\n
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@article{viteri2024markovian,\n  title={Markovian Agents for Truthful Language Modeling},\n  author={Viteri, Scott and Lamparth, Max and Chatain, Peter and Barrett, Clark},\n  journal={arXiv preprint arXiv:2404.18988},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation.\n \n \n \n\n\n \n Grabb, D.; Lamparth, M.; and Vasan, N.\n\n\n \n\n\n\n medRxiv,2024–04. 2024.\n \n\n\n\n
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@article{grabb2024risks,\n  title={Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation},\n  author={Grabb, Declan and Lamparth, Max and Vasan, Nina},\n  journal={medRxiv},\n  pages={2024--04},\n  year={2024},\n  publisher={Cold Spring Harbor Laboratory Press}\n}\n\n
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\n \n\n \n \n \n \n \n Human vs. machine: Language models and wargames.\n \n \n \n\n\n \n Lamparth, M.; Corso, A.; Ganz, J.; Mastro, O. S.; Schneider, J.; and Trinkunas, H.\n\n\n \n\n\n\n arXiv preprint arXiv:2403.03407. 2024.\n \n\n\n\n
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@article{lamparth2024human,\n  title={Human vs. machine: Language models and wargames},\n  author={Lamparth, Max and Corso, Anthony and Ganz, Jacob and Mastro, Oriana Skylar and Schneider, Jacquelyn and Trinkunas, Harold},\n  journal={arXiv preprint arXiv:2403.03407},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Escalation risks from language models in military and diplomatic decision-making.\n \n \n \n\n\n \n Rivera, J.; Mukobi, G.; Reuel, A.; Lamparth, M.; Smith, C.; and Schneider, J.\n\n\n \n\n\n\n In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 836–898, 2024. \n \n\n\n\n
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@inproceedings{rivera2024escalation,\n  title={Escalation risks from language models in military and diplomatic decision-making},\n  author={Rivera, Juan-Pablo and Mukobi, Gabriel and Reuel, Anka and Lamparth, Max and Smith, Chandler and Schneider, Jacquelyn},\n  booktitle={The 2024 ACM Conference on Fairness, Accountability, and Transparency},\n  pages={836--898},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Analyzing and editing inner mechanisms of backdoored language models.\n \n \n \n\n\n \n Lamparth, M.; and Reuel, A.\n\n\n \n\n\n\n In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 2362–2373, 2024. \n \n\n\n\n
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@inproceedings{lamparth2024analyzing,\n  title={Analyzing and editing inner mechanisms of backdoored language models},\n  author={Lamparth, Max and Reuel, Anka},\n  booktitle={The 2024 ACM Conference on Fairness, Accountability, and Transparency},\n  pages={2362--2373},\n  year={2024}\n}\n\n\n
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\n \n\n \n \n \n \n \n Companies inadvertently fund online misinformation despite consumer backlash.\n \n \n \n\n\n \n Ahmad, W.; Sen, A.; Eesley, C.; and Brynjolfsson, E.\n\n\n \n\n\n\n Nature, 630(8015): 123–131. 2024.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ahmad2024companies,\n  title={Companies inadvertently fund online misinformation despite consumer backlash},\n  author={Ahmad, Wajeeha and Sen, Ananya and Eesley, Charles and Brynjolfsson, Erik},\n  journal={Nature},\n  volume={630},\n  number={8015},\n  pages={123--131},\n  year={2024},\n  publisher={Nature Publishing Group UK London}\n}\n\n\n
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\n \n\n \n \n \n \n \n Fusing GNN-enhanced GNSS with Neural Radiance Fields for UAV Navigation.\n \n \n \n\n\n \n Mohanty, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 2024 International Technical Meeting of The Institute of Navigation, pages 604–617, 2024. \n \n\n\n\n
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@inproceedings{mohanty2024fusing,\n  title={Fusing GNN-enhanced GNSS with Neural Radiance Fields for UAV Navigation},\n  author={Mohanty, Adyasha and Gao, Grace},\n  booktitle={Proceedings of the 2024 International Technical Meeting of The Institute of Navigation},\n  pages={604--617},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Neural Elevation Models for Terrain Mapping and Path Planning.\n \n \n \n\n\n \n Dai, A.; Gupta, S.; and Gao, G.\n\n\n \n\n\n\n arXiv preprint arXiv:2405.15227. 2024.\n \n\n\n\n
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@article{dai2024neural,\n  title={Neural Elevation Models for Terrain Mapping and Path Planning},\n  author={Dai, Adam and Gupta, Shubh and Gao, Grace},\n  journal={arXiv preprint arXiv:2405.15227},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Real-Time Anomaly Detection and Reactive Planning with Large Language Models.\n \n \n \n\n\n \n Sinha, R.; Elhafsi, A.; Agia, C.; Foutter, M.; Schmerling, E.; and Pavone, M.\n\n\n \n\n\n\n In Robotics: Science and Systems Conference, 2024. \n \n\n\n\n
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@inproceedings{sinha2024real,\n  title={Real-Time Anomaly Detection and Reactive Planning with Large Language Models},\n  author={Sinha, Rohan and Elhafsi, Amine and Agia, Christopher and Foutter, Matthew and Schmerling, Edward and Pavone, Marco},\n  booktitle={Robotics: Science and Systems Conference},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress.\n \n \n \n\n\n \n Agia, C.; Sinha, R.; Yang, J.; Cao, Z.; Antonova, R.; Pavone, M.; and Bohg, J.\n\n\n \n\n\n\n In Robotics: Science and Systems Conference, 2024. \n \n\n\n\n
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@inproceedings{agia2024unpacking,\n  title={Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress},\n  author={Agia, Christopher and Sinha, Rohan and Yang, Jingyun and Cao, Ziang and Antonova, Rika and Pavone, Marco and Bohg, Jeannette},\n  booktitle={Robotics: Science and Systems Conference},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers.\n \n \n \n\n\n \n Gupta, A.; Chakraborty, K.; and Bansal, S.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation, 2024. \n \n\n\n\n
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@inproceedings{gupta2024detecting,\n  title={Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers},\n  author={Gupta, Aryaman and Chakraborty, Kaustav and Bansal, Somil},\n  booktitle={IEEE International Conference on Robotics and Automation},\n  year={2024},\n}\n\n
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\n \n\n \n \n \n \n \n Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning.\n \n \n \n\n\n \n Mehta, S. A; Ciftci, Y. U.; Ramachandran, B.; Bansal, S.; and Losey, D. P\n\n\n \n\n\n\n IEEE Robotics and Automation Letters. 2024.\n \n\n\n\n
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@article{mehta2024stable,\n  title={Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning},\n  author={Mehta, Shaunak A and Ciftci, Yusuf Umut and Ramachandran, Balamurugan and Bansal, Somil and Losey, Dylan P},\n  journal={IEEE Robotics and Automation Letters},\n  year={2024}\n}\n
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\n \n\n \n \n \n \n \n Providing Safety Assurances for Systems With Unknown Dynamics.\n \n \n \n\n\n \n Wang, H.; Borquez, J.; and Bansal, S.\n\n\n \n\n\n\n IEEE Control Systems Letters. 2024.\n \n\n\n\n
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@article{wang2024providing,\n  title={Providing Safety Assurances for Systems With Unknown Dynamics},\n  author={Wang, Hao and Borquez, Javier and Bansal, Somil},\n  journal={IEEE Control Systems Letters},\n  year={2024},\n  publisher={IEEE}\n}\n\n
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\n  \n 2023\n \n \n (39)\n \n \n
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\n \n\n \n \n \n \n \n Euclidean Distance Matrix-based Rapid Fault Detection and Exclusion.\n \n \n \n\n\n \n Knowles, D.; and Gao, G.\n\n\n \n\n\n\n Navigation: Journal of the Institute of Navigation. 2023.\n \n\n\n\n
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@article{knowles2023euclidean,\n  title={Euclidean Distance Matrix-based Rapid Fault Detection and Exclusion},\n  author={Knowles, Derek and Gao, Grace},\n  journal={Navigation: Journal of the Institute of Navigation},\n  year={2023}\n}\n\n% J35\n% Sriramya Bhamidipati, Shreyas Kousik and Grace Gao, Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization, Navigation: Journal of the Institute of Navigation. Accepted.\n% couldn't find in NAVIGATION open access? (https://navi.ion.org/search/)\n
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\n \n\n \n \n \n \n \n \n Online planning for constrained POMDPs with continuous spaces through dual ascent.\n \n \n \n \n\n\n \n Jamgochian, A.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Automated Planning and Scheduling (ICAPS), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"OnlinePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Jamgochian2023icaps,\n  author    = {Arec Jamgochian and Anthony Corso and Mykel J. Kochenderfer},\n  booktitle = icaps,\n  title     = {Online planning for constrained {POMDP}s with continuous spaces through dual ascent},\n  year      = {2023},\n  doi       = {10.1609/icaps.v33i1.27195},\n  url       = {https://arxiv.org/abs/2212.12154},\n}\n\n
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\n \n\n \n \n \n \n \n \n SHAIL: Safety-aware hierarchical adversarial imitation learning for autonomous driving in urban environments.\n \n \n \n \n\n\n \n Jamgochian, A.; Buehrle, E.; Fischer, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"SHAIL:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Jamgochian2023icra,\n  author    = {Arec Jamgochian and Etienne Buehrle and Johannes Fischer and Mykel J. Kochenderfer},\n  booktitle = icra,\n  title     = {{SHAIL}: Safety-aware hierarchical adversarial imitation learning for autonomous driving in urban environments},\n  year      = {2023},\n  doi       = {10.1109/ICRA48891.2023.10161449},\n  url       = {https://arxiv.org/abs/2204.01922},\n}\n\n
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\n \n\n \n \n \n \n \n \n Sequential Bayesian optimization for adaptive informative path planning with multimodal sensing.\n \n \n \n \n\n\n \n Ott, J.; Balaban, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"SequentialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ott2023icra,\n  author    = {Joshua Ott and Edward Balaban and Mykel J. Kochenderfer},\n  booktitle = icra,\n  title     = {Sequential {B}ayesian optimization for adaptive informative path planning with multimodal sensing},\n  year      = {2023},\n  doi       = {10.1109/ICRA48891.2023.10160859},\n  url       = {https://arxiv.org/abs/2209.07660},\n}\n\n
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\n \n\n \n \n \n \n \n \n Safe and efficient navigation in extreme environments using semantic belief graphs.\n \n \n \n \n\n\n \n Ginting, M. F.; Kim, S.; Peltzer, O.; Ott, J.; Jung, S.; Kochenderfer, M. J.; and Agha-mohammadi, A.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"SafePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ginting2023icra,\n  author    = {Muhammad Fadhil Ginting and Sung-Kyun Kim and Oriana Peltzer and Joshua Ott and Sunggoo Jung and Mykel J. Kochenderfer and Ali-akbar Agha-mohammadi},\n  booktitle = icra,\n  title     = {Safe and efficient navigation in extreme environments using semantic belief graphs},\n  year      = {2023},\n  doi       = {10.1109/ICRA48891.2023.10161056},\n  url       = {https://arxiv.org/pdf/2304.00645.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n Modeling human driving behavior through generative adversarial imitation learning.\n \n \n \n \n\n\n \n Bhattacharyya, R.; Wulfe, B.; Phillips, D. J.; Kuefler, A.; Morton, J.; Senanayake, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 24(3): 2874–2887. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"ModelingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Bhattacharyya2023,\n  author  = {Raunak Bhattacharyya and Blake Wulfe and Derek J. Phillips and Alex Kuefler and Jeremy Morton and Ransalu Senanayake and Mykel J. Kochenderfer},\n  journal = ieeetits,\n  title   = {Modeling human driving behavior through generative adversarial imitation learning},\n  year    = {2023},\n  number  = {3},\n  pages   = {2874--2887},\n  volume  = {24},\n  doi     = {10.1109/tits.2022.3227738},\n  url     = {https://arxiv.org/abs/2006.06412},\n}\n\n
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\n \n\n \n \n \n \n \n \n Bayesian safety validation for black-box systems.\n \n \n \n \n\n\n \n Moss, R. J.; Kochenderfer, M. J.; Gariel, M.; and Dubois, A.\n\n\n \n\n\n\n In aiaa_aviation, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Moss2023,\n  author    = {Robert J. Moss and Mykel J. Kochenderfer and Maxime Gariel and Arthur Dubois},\n  booktitle = aiaa_aviation,\n  title     = {Bayesian safety validation for black-box systems},\n  year      = {2023},\n  doi       = {10.2514/6.2023-3596},\n  url       = {https://arxiv.org/abs/2305.02449},\n}\n\n
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\n \n\n \n \n \n \n \n Multirobot navigation using partially observable Markov decision processes with belief-based rewards.\n \n \n \n\n\n \n Tzikas, A. E.; Knowles, D.; Gao, G. X.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Aerospace Information Systems, 20(8): 437–525. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Tzikas2023,\n  author  = {Alexandros E. Tzikas and Derek Knowles and Grace X. Gao and Mykel J. Kochenderfer},\n  journal = jais,\n  title   = {Multirobot navigation using partially observable {M}arkov decision processes with belief-based rewards},\n  year    = {2023},\n  number  = {8},\n  pages   = {437--525},\n  volume  = {20},\n  doi     = {10.2514/1.i011146},\n}\n\n
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\n \n\n \n \n \n \n \n BetaZero: Belief-state planning for long-horizon POMDPs using learned approximations.\n \n \n \n\n\n \n Moss, R. J.; Corso, A.; Caers, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv. 2023.\n \n\n\n\n
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@Article{Moss2023betazero,\n  author  = {Moss, Robert J. and Corso, Anthony and Caers, Jef and Kochenderfer, Mykel J.},\n  journal = arxiv,\n  title   = {Beta{Z}ero: {B}elief-state planning for long-horizon {POMDP}s using learned approximations},\n  year    = {2023},\n  doi     = {10.48550/ARXIV.2306.00249},\n}\n\n
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\n \n\n \n \n \n \n \n Model-based Validation as Probabilistic Inference.\n \n \n \n\n\n \n Delecki, H.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Conference on Learning for Dynamics and Control (L4DC), 2023. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Delecki2023,\n  author    = {Delecki, Harrison and Corso, Anthony and Kochenderfer, Mykel J.},\n  booktitle = {Conference on Learning for Dynamics and Control (L4DC)},\n  title     = {Model-based Validation as Probabilistic Inference},\n  year      = {2023},\n  doi       = {10.48550/ARXIV.2305.09930},\n}\n\n
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\n \n\n \n \n \n \n \n Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems.\n \n \n \n\n\n \n Rober, N.; Katz, S. M.; Sidrane, C.; Yel, E.; Everett, M.; Kochenderfer, M. J.; and How, J. P.\n\n\n \n\n\n\n IEEE Open Journal of Control Systems, 2: 108–124. 2023.\n \n\n\n\n
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@Article{Rober2023,\n  author  = {Nicholas Rober and Sydney M. Katz and Chelsea Sidrane and Esen Yel and Michael Everett and Mykel J. Kochenderfer and Jonathan P. How},\n  journal = {{IEEE} Open Journal of Control Systems},\n  title   = {Backward reachability analysis of neural feedback loops: {T}echniques for linear and nonlinear systems},\n  year    = {2023},\n  pages   = {108--124},\n  volume  = {2},\n  doi     = {10.1109/ojcsys.2023.3265901},\n}\n\n
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\n \n\n \n \n \n \n \n \n Experience filter: Using past experiences on unseen tasks or environments.\n \n \n \n \n\n\n \n Yildiz, A.; Yel, E.; Corso, A. L.; Wray, K. H.; Witwicki, S. J.; and Kochenderfer, M. J\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"ExperiencePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Yildiz2023iv,\n  author    = {Anil Yildiz and Esen Yel and Anthony L. Corso and Kyle H. Wray and Stefan J. Witwicki and Mykel J Kochenderfer},\n  booktitle = iv,\n  title     = {Experience filter: {U}sing past experiences on unseen tasks or environments},\n  year      = {2023},\n  doi       = {10.1109/IV55152.2023.10186722},\n  url       = {https://arxiv.org/abs/2305.18633},\n}\n\n
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\n \n\n \n \n \n \n \n \n Incorporating human path preferences in robot navigation with minimal interventions.\n \n \n \n \n\n\n \n Peltzer, O.; Asmar, D. M.; Schwager, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"IncorporatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Peltzer2023,\n  author  = {Peltzer, Oriana and Asmar, Dylan M. and Schwager, Mac and Kochenderfer, Mykel J.},\n  journal = arxiv,\n  title   = {Incorporating human path preferences in robot navigation with minimal interventions},\n  year    = {2023},\n  url     = {https://arxiv.org/abs/2303.03530},\n}\n\n
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\n \n\n \n \n \n \n \n \n SAVME: Efficient safety validation for autonomous systems using meta-learning.\n \n \n \n \n\n\n \n Schlichting, M. R.; Boord, N. V.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"SAVME:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Schlichting2023,\n  author    = {Marc René Schlichting and Nina Virginia Boord and Anthony Corso and Mykel J. Kochenderfer},\n  booktitle = itsc,\n  title     = {{SAVME}: {E}fficient safety validation for autonomous systems using meta-learning},\n  year      = {2023},\n  doi       = {10.1109/ITSC57777.2023.10420845},\n  url       = {https://arxiv.org/abs/2309.12474},\n}\n\n
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\n \n\n \n \n \n \n \n \n Robust driving policy learning with guided meta reinforcement learning.\n \n \n \n \n\n\n \n Lee, K.; Li, J.; Isele, D.; Park, J.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"RobustPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Lee2023,\n  author    = {Kanghoon Lee and Jiachen Li and David Isele and Jinkyoo Park and Kikuo Fujimura and Mykel J. Kochenderfer},\n  booktitle = itsc,\n  title     = {Robust driving policy learning with guided meta reinforcement learning},\n  year      = {2023},\n  doi       = {10.1109/ITSC57777.2023.10422469},\n  url       = {https://arxiv.org/pdf/2307.10160.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n A Holistic Assessment of the Reliability of Machine Learning Systems.\n \n \n \n\n\n \n Corso, A.; Karamadian, D.; Valentin, R.; Cooper, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv. 2023.\n \n\n\n\n
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@Article{Corso2023,\n  author  = {Anthony Corso and David Karamadian and Romeo Valentin and Mary Cooper and Mykel J. Kochenderfer},\n  journal = arxiv,\n  title   = {A Holistic Assessment of the Reliability of Machine Learning Systems},\n  year    = {2023},\n  doi     = {10.48550/ARXIV.2307.10586},\n}\n\n
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\n \n\n \n \n \n \n \n \n Efficient determination of safety requirements for perception systems.\n \n \n \n \n\n\n \n Katz, S. M.; Corso, A. L.; Yel, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"EfficientPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Katz2023dasc,\n  author    = {Sydney M. Katz and Anthony L. Corso and Esen Yel and Mykel J. Kochenderfer},\n  booktitle = dasc,\n  title     = {Efficient determination of safety requirements for perception systems},\n  year      = {2023},\n  doi       = {10.1109/DASC58513.2023.10311157},\n  url       = {https://arxiv.org/pdf/2307.01371.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n Conformal prediction for uncertainty-aware planning with diffusion dynamics model.\n \n \n \n \n\n\n \n Sun, J.; Jiang, Y.; Qiu, J.; Nobel, P. T.; Kochenderfer, M. J.; and Schwager, M.\n\n\n \n\n\n\n In neurips, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"ConformalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Sun2023,\n  author    = {Jiankai Sun and Yiqi Jiang and Jianing Qiu and Parth Talpur Nobel and Mykel J. Kochenderfer and Mac Schwager},\n  booktitle = neurips,\n  title     = {Conformal prediction for uncertainty-aware planning with diffusion dynamics model},\n  year      = {2023},\n  url       = {https://openreview.net/pdf?id=VeO03T59Sh},\n}\n\n
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\n \n\n \n \n \n \n \n \n AVOIDDS: Aircraft vision-based intruder detection dataset and simulator.\n \n \n \n \n\n\n \n Smyers, E. Q.; Katz, S. M.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In neurips, 2023. \n \n\n\n\n
\n\n\n\n \n \n \"AVOIDDS:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Smyers2023,\n  author    = {Elysia Quinn Smyers and Sydney Michelle Katz and Anthony Corso and Mykel J. Kochenderfer},\n  booktitle = neurips,\n  title     = {{AVOIDDS}: {A}ircraft vision-based intruder detection dataset and simulator},\n  year      = {2023},\n  url       = {https://arxiv.org/abs/2306.11203},\n}\n\n
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\n \n\n \n \n \n \n \n Optimality guarantees for particle belief approximation of POMDPs.\n \n \n \n\n\n \n Lim, M. H.; Becker, T. J.; Kochenderfer, M. J.; Tomlin, C. J.; and Sunberg, Z. N.\n\n\n \n\n\n\n Journal of Artificial Intelligence Research, 77: 1591–1636. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Lim2023,\n  author  = {Michael H. Lim and Tyler J. Becker and Mykel J. Kochenderfer and Claire J. Tomlin and Zachary N. Sunberg},\n  journal = jair,\n  title   = {Optimality guarantees for particle belief approximation of {POMDPs}},\n  year    = {2023},\n  pages   = {1591--1636},\n  volume  = {77},\n  doi     = {10.1613/jair.1.14525},\n}\n\n
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\n \n\n \n \n \n \n \n Active preference-based Gaussian process regression for reward learning and optimization.\n \n \n \n\n\n \n Bıyık, E.; Huynh, N.; Kochenderfer, M. J.; and Sadigh, D.\n\n\n \n\n\n\n International Journal of Robotics Research. 2023.\n \n\n\n\n
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@Article{Biyik2023,\n  author  = {Bıyık, Erdem and Huynh, Nicolas and Kochenderfer, Mykel J. and Sadigh, Dorsa},\n  journal = {International Journal of Robotics Research},\n  title   = {Active preference-based {G}aussian process regression for reward learning and optimization},\n  year    = {2023},\n  doi     = {10.1177/02783649231208729},\n}\n
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\n \n\n \n \n \n \n \n \n Fast and scalable signal inference for active robotic source seeking.\n \n \n \n \n\n\n \n Denniston, C. E.; Peltzer, O.; Ott, J.; Moon, S.; Kim, S.; Sukhatme, G.; Kochenderfer, M. J.; Schwager, M.; and Agha-mohammadi, A.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2023. \n \n\n\n\n
\n\n\n\n \n \n \"FastPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Denniston2023,\n\tauthor = {Christopher E. Denniston and Oriana Peltzer and Joshua Ott and Sangwoo Moon and Sung-Kyun Kim and Gaurav Sukhatme and Mykel J. Kochenderfer and Mac Schwager and Ali-akbar Agha-mohammadi},\n\tbooktitle = icra,\n\tdate-added = {2024-05-27 12:20:23 -0700},\n\tdate-modified = {2024-05-27 12:20:23 -0700},\n\tdoi = {10.1109/ICRA48891.2023.10161445},\n\ttitle = {Fast and scalable signal inference for active robotic source seeking},\n\turl = {https://arxiv.org/abs/2301.02362},\n\tyear = {2023}\n}\n\n
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\n \n\n \n \n \n \n \n Foundation Models in Robotics: Applications, Challenges, and the Future.\n \n \n \n\n\n \n Firoozi, R.; Tucker, J.; Tian, S.; Majumdar, A.; Sun, J.; Liu, W.; Zhu, Y.; Song, S.; Kapoor, A.; Hausman, K.; Ichter, B.; Driess, D.; Wu, J.; Lu, C.; and Schwager, M.\n\n\n \n\n\n\n 2023.\n \n\n\n\n
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@misc{firoozi2023foundation,\n\tarchiveprefix = {arXiv},\n\tauthor = {Roya Firoozi and Johnathan Tucker and Stephen Tian and Anirudha Majumdar and Jiankai Sun and Weiyu Liu and Yuke Zhu and Shuran Song and Ashish Kapoor and Karol Hausman and Brian Ichter and Danny Driess and Jiajun Wu and Cewu Lu and Mac Schwager},\n\tdate-added = {2024-05-27 14:23:55 -0700},\n\tdate-modified = {2024-05-27 14:23:55 -0700},\n\teprint = {2312.07843},\n\tprimaryclass = {cs.RO},\n\ttitle = {Foundation Models in Robotics: Applications, Challenges, and the Future},\n\tyear = {2023}\n}\n\n
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\n \n\n \n \n \n \n \n \n Incorporating human path preferences in robot navigation with minimal interventions.\n \n \n \n \n\n\n \n Peltzer, O.; Asmar, D. M.; Schwager, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"IncorporatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Peltzer2023,\n\tauthor = {Peltzer, Oriana and Asmar, Dylan M. and Schwager, Mac and Kochenderfer, Mykel J.},\n\tdate-added = {2024-05-27 12:20:23 -0700},\n\tdate-modified = {2024-05-27 12:20:23 -0700},\n\tjournal = arxiv,\n\ttitle = {Incorporating human path preferences in robot navigation with minimal interventions},\n\turl = {https://arxiv.org/abs/2303.03530},\n\tyear = {2023}\n}\n\n
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\n \n\n \n \n \n \n \n Local non-cooperative games with principled player selection for scalable motion planning.\n \n \n \n\n\n \n Chahine, M.; Firoozi, R.; Xiao, W.; Schwager, M.; and Rus, D.\n\n\n \n\n\n\n In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 880–887, 2023. IEEE\n \n\n\n\n
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@inproceedings{chahine2023local,\n\tauthor = {Chahine, Makram and Firoozi, Roya and Xiao, Wei and Schwager, Mac and Rus, Daniela},\n\tbooktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},\n\tdate-added = {2024-05-27 12:22:50 -0700},\n\tdate-modified = {2024-05-27 12:22:50 -0700},\n\torganization = {IEEE},\n\tpages = {880--887},\n\ttitle = {Local non-cooperative games with principled player selection for scalable motion planning},\n\tyear = {2023}\n}\n\n
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\n \n\n \n \n \n \n \n \n VeriX: Towards Verified Explainability of Deep Neural Networks.\n \n \n \n \n\n\n \n Wu, M.; Wu, H.; and Barrett, C.\n\n\n \n\n\n\n In Oh, A.; Neumann, T.; Globerson, A.; Saenko, K.; Hardt, M.; and Levine, S., editor(s), Advances in Neural Information Processing Systems 36 (NeurIPS 2023), volume 36, pages 22247–22268, 2023. Curran Associates, Inc.\n \n\n\n\n
\n\n\n\n \n \n \"VeriX:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{WWB23,\n  url       = "https://proceedings.neurips.cc/paper_files/paper/2023/file/46907c2ff9fafd618095161d76461842-Paper-Conference.pdf",\n  author    = "Min Wu and Haoze Wu and Clark Barrett",\n  title     = "VeriX: Towards Verified Explainability of Deep Neural Networks",\n  booktitle = "Advances in Neural Information Processing Systems 36 (NeurIPS 2023)",\n  editor    = "A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine",\n  publisher = "Curran Associates, Inc.",\n  pages     = "22247--22268",\n  volume    = 36,\n  mon       = dec,\n  year      = 2023,\n  category  = "Conference Publications",\n  abstract  = "We present VeriX (Verified eXplainability), a system for\n                  producing optimal robust explanations and generating\n                  counterfactuals along decision boundaries of machine learning\n                  models. We build such explanations and counterfactuals\n                  iteratively using constraint solving techniques and a\n                  heuristic based on feature-level sensitivity ranking. We\n                  evaluate our method on image recognition benchmarks and a\n                  real-world scenario of autonomous aircraft taxiing."\n}\n\n
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\n We present VeriX (Verified eXplainability), a system for producing optimal robust explanations and generating counterfactuals along decision boundaries of machine learning models. We build such explanations and counterfactuals iteratively using constraint solving techniques and a heuristic based on feature-level sensitivity ranking. We evaluate our method on image recognition benchmarks and a real-world scenario of autonomous aircraft taxiing.\n
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\n \n\n \n \n \n \n \n \n Soy: An Efficient MILP Solver for Piecewise-Affine Systems.\n \n \n \n \n\n\n \n Wu, H.; Wu, M.; Sadigh, D.; and Barrett, C.\n\n\n \n\n\n\n In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '23), pages 6281–6288, October 2023. IEEE\n Detroit, MI, USA\n\n\n\n
\n\n\n\n \n \n \"Soy:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{WWS+23,\n  url       = "https://doi.org/10.1109/IROS55552.2023.10342011",\n  author    = "Wu, Haoze and Wu, Min and Sadigh, Dorsa and Barrett, Clark",\n  title     = "Soy: An Efficient {MILP} Solver for Piecewise-Affine Systems",\n  booktitle = "2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '23)",\n  publisher = "IEEE",\n  pages     = "6281--6288",\n  month     = oct,\n  year      = 2023,\n  doi       = "10.1109/IROS55552.2023.10342011",\n  note      = "Detroit, MI, USA",\n  category  = "Conference Publications",\n  abstract  = "Piecewise-affine (PWA) systems are widely used for modeling and\n                  control of robotics problems including modeling contact\n                  dynamics. A common approach is to encode the control problem\n                  of the PWA system as a Mixed-Integer Convex Program (MICP),\n                  which can be solved by general-purpose off-the-shelf MICP\n                  solvers. To mitigate the scalability challenge of solving\n                  these MICP problems, existing work focuses on devising\n                  efficient and strong formulations of the problems, while less\n                  effort has been spent on exploiting their specific structure\n                  to develop specialized solvers. The latter is the theme of\n                  our work. We focus on efficiently handling one-hot\n                  constraints, which are particularly relevant when encoding\n                  PWA dynamics. We have implemented our techniques in a tool,\n                  Soy, which organically integrates logical reasoning,\n                  arithmetic reasoning, and stochastic local search. For a set\n                  of PWA control benchmarks, Soy solves more problems, faster,\n                  than two state-of-the-art MICP solvers.",\n}\n\n
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\n Piecewise-affine (PWA) systems are widely used for modeling and control of robotics problems including modeling contact dynamics. A common approach is to encode the control problem of the PWA system as a Mixed-Integer Convex Program (MICP), which can be solved by general-purpose off-the-shelf MICP solvers. To mitigate the scalability challenge of solving these MICP problems, existing work focuses on devising efficient and strong formulations of the problems, while less effort has been spent on exploiting their specific structure to develop specialized solvers. The latter is the theme of our work. We focus on efficiently handling one-hot constraints, which are particularly relevant when encoding PWA dynamics. We have implemented our techniques in a tool, Soy, which organically integrates logical reasoning, arithmetic reasoning, and stochastic local search. For a set of PWA control benchmarks, Soy solves more problems, faster, than two state-of-the-art MICP solvers.\n
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\n \n\n \n \n \n \n \n \n DNN Verification, Reachability, and the Exponential Function Problem.\n \n \n \n \n\n\n \n Isac, O.; Zohar, Y.; Barrett, C.; and Katz, G.\n\n\n \n\n\n\n In Pérez, G. A.; and Raskin, J., editor(s), $34^{th}$ International Conference on Concurrency Theory (CONCUR '23), volume 279, of Leibniz International Proceedings in Informatics (LIPIcs), pages 26:1–26:18, Dagstuhl, Germany, September 2023. Schloss Dagstuhl – Leibniz-Zentrum für Informatik\n Antwerp, Belgium\n\n\n\n
\n\n\n\n \n \n \"DNNPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@InProceedings{IZB+23,\n  url       = "https://drops.dagstuhl.de/opus/volltexte/2023/19020/",\n  author    = "Isac, Omri and Zohar, Yoni and Barrett, Clark and Katz, Guy",\n  title     = "{DNN} Verification, Reachability, and the Exponential Function Problem",\n  booktitle = "$34^{th}$ International Conference on Concurrency Theory (CONCUR '23)",\n  pages     = "26:1--26:18",\n  series    = "Leibniz International Proceedings in Informatics (LIPIcs)",\n  ISBN      = "978-3-95977-299-0",\n  ISSN      = "1868-8969",\n  month     = sep,\n  year      = 2023,\n  volume    = 279,\n  editor    = "P\\'{e}rez, Guillermo A. and Raskin, Jean-Fran\\c{c}ois",\n  publisher = "Schloss Dagstuhl -- Leibniz-Zentrum f{\\"u}r Informatik",\n  address   = "Dagstuhl, Germany",\n  doi       = "10.4230/LIPIcs.CONCUR.2023.26",\n  note      = "Antwerp, Belgium",\n  category  = "Conference Publications",\n  abstract  = "Deep neural networks (DNNs) are increasingly being deployed to\n                  perform safety-critical tasks. The opacity of DNNs, which\n                  prevents humans from reasoning about them, presents new\n                  safety and security challenges. To address these challenges,\n                  the verification community has begun developing techniques\n                  for rigorously analyzing DNNs, with numerous verification\n                  algorithms proposed in recent years. While a significant\n                  amount of work has gone into developing these verification\n                  algorithms, little work has been devoted to rigorously\n                  studying the computability and complexity of the underlying\n                  theoretical problems. Here, we seek to contribute to the\n                  bridging of this gap. We focus on two kinds of DNNs: those\n                  that employ piecewise-linear activation functions (e.g.,\n                  ReLU), and those that employ piecewise-smooth activation\n                  functions (e.g., Sigmoids). We prove the two following\n                  theorems: (i) the decidability of verifying DNNs with a\n                  particular set of piecewise-smooth activation functions,\n                  including Sigmoid and tanh, is equivalent to a well-known,\n                  open problem formulated by Tarski; and (ii) the DNN\n                  verification problem for any quantifier-free linear\n                  arithmetic specification can be reduced to the DNN\n                  reachability problem, whose approximation is\n                  NP-complete. These results answer two fundamental questions\n                  about the computability and complexity of DNN verification,\n                  and the ways it is affected by the network’s activation\n                  functions and error tolerance; and could help guide future\n                  efforts in developing DNN verification tools.",\n}\n\n
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\n Deep neural networks (DNNs) are increasingly being deployed to perform safety-critical tasks. The opacity of DNNs, which prevents humans from reasoning about them, presents new safety and security challenges. To address these challenges, the verification community has begun developing techniques for rigorously analyzing DNNs, with numerous verification algorithms proposed in recent years. While a significant amount of work has gone into developing these verification algorithms, little work has been devoted to rigorously studying the computability and complexity of the underlying theoretical problems. Here, we seek to contribute to the bridging of this gap. We focus on two kinds of DNNs: those that employ piecewise-linear activation functions (e.g., ReLU), and those that employ piecewise-smooth activation functions (e.g., Sigmoids). We prove the two following theorems: (i) the decidability of verifying DNNs with a particular set of piecewise-smooth activation functions, including Sigmoid and tanh, is equivalent to a well-known, open problem formulated by Tarski; and (ii) the DNN verification problem for any quantifier-free linear arithmetic specification can be reduced to the DNN reachability problem, whose approximation is NP-complete. These results answer two fundamental questions about the computability and complexity of DNN verification, and the ways it is affected by the network’s activation functions and error tolerance; and could help guide future efforts in developing DNN verification tools.\n
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\n \n\n \n \n \n \n \n \n Convex Bounds on the Softmax Function with Applications to Robustness Verification.\n \n \n \n \n\n\n \n Wei, D.; Wu, H.; Wu, M.; Chen, P.; Barrett, C.; and Farchi, E.\n\n\n \n\n\n\n In Ruiz, F.; Dy, J.; and van de Meent, J., editor(s), Proceedings of The $26^{th}$ International Conference on Artificial Intelligence and Statistics (AISTATS '23), volume 206, of Proceedings of Machine Learning Research, pages 6853–6878, April 2023. PMLR\n Valencia, Spain\n\n\n\n
\n\n\n\n \n \n \"ConvexPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@InProceedings{WWW+23,\n  url       = "https://proceedings.mlr.press/v206/wei23c.html",\n  author    = "Wei, Dennis and Wu, Haoze and Wu, Min and Chen, Pin-Yu and Barrett, Clark and Farchi, Eitan",\n  title     = "Convex Bounds on the Softmax Function with Applications to Robustness Verification",\n  booktitle = "Proceedings of The $26^{th}$ International Conference on Artificial Intelligence and Statistics (AISTATS '23)",\n  volume    = "206",\n  series    = "Proceedings of Machine Learning Research",\n  publisher = "PMLR",\n  editor    = "Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem",\n  month     = apr,\n  pages     = "6853--6878",\n  year      = "2023",\n  note      = "Valencia, Spain",\n  category  = "Conference Publications",\n  abstract  = "The softmax function is a ubiquitous component at the output of\n                  neural networks and increasingly in intermediate layers as\n                  well. This paper provides convex lower bounds and concave\n                  upper bounds on the softmax function, which are compatible\n                  with convex optimization formulations for characterizing\n                  neural networks and other ML models. We derive bounds using\n                  both a natural exponential-reciprocal decomposition of the\n                  softmax as well as an alternative decomposition in terms of\n                  the log-sum-exp function. The new bounds are provably and/or\n                  numerically tighter than linear bounds obtained in previous\n                  work on robustness verification of transformers. As\n                  illustrations of the utility of the bounds, we apply them to\n                  verification of transformers as well as of the robustness of\n                  predictive uncertainty estimates of deep ensembles."\n}\n\n
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\n The softmax function is a ubiquitous component at the output of neural networks and increasingly in intermediate layers as well. This paper provides convex lower bounds and concave upper bounds on the softmax function, which are compatible with convex optimization formulations for characterizing neural networks and other ML models. We derive bounds using both a natural exponential-reciprocal decomposition of the softmax as well as an alternative decomposition in terms of the log-sum-exp function. The new bounds are provably and/or numerically tighter than linear bounds obtained in previous work on robustness verification of transformers. As illustrations of the utility of the bounds, we apply them to verification of transformers as well as of the robustness of predictive uncertainty estimates of deep ensembles.\n
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\n \n\n \n \n \n \n \n \n Tighter Abstract Queries in Neural Network Verification.\n \n \n \n \n\n\n \n Cohen, E.; Elboher, Y. Y.; Barrett, C.; and Katz, G.\n\n\n \n\n\n\n In Piskac, R.; and Voronkov, A., editor(s), Proceedings of $24^{th}$ International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR '23), volume 94, of EPiC Series in Computing, pages 124–143, March 2023. EasyChair\n Manizales, Columbia\n\n\n\n
\n\n\n\n \n \n \"TighterPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{CEB+23,\n  url       = "https://easychair.org/publications/paper/q7L6",\n  author    = "Elazar Cohen and Yizhak Yisrael Elboher and Clark Barrett and Guy Katz",\n  title     = "Tighter Abstract Queries in Neural Network Verification",\n  booktitle = "Proceedings of $24^{th}$ International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR '23)",\n  series    = "EPiC Series in Computing",\n  publisher = "EasyChair",\n  volume    = 94,\n  pages     = "124--143",\n  editor    = "Ruzica Piskac and Andrei Voronkov",\n  month     = mar,\n  year      = 2023,\n  note      = "Manizales, Columbia",\n  doi       = "10.29007/3mk7",\n  category  = "Conference Publications",\n  abstract  = "Neural networks have become critical components of reactive\n                  systems in various do- mains within computer science. Despite\n                  their excellent performance, using neural networks entails\n                  numerous risks that stem from our lack of ability to\n                  understand and reason about their behavior. Due to these\n                  risks, various formal methods have been proposed for verify-\n                  ing neural networks; but unfortunately, these typically\n                  struggle with scalability barriers. Recent attempts have\n                  demonstrated that abstraction-refinement approaches could\n                  play a significant role in mitigating these limitations; but\n                  these approaches can often produce net- works that are so\n                  abstract, that they become unsuitable for verification. To\n                  deal with this issue, we present CEGARETTE, a novel\n                  verification mechanism where both the system and the property\n                  are abstracted and refined simultaneously. We observe that\n                  this approach allows us to produce abstract networks which\n                  are both small and sufficiently accurate, allowing for quick\n                  verification times while avoiding a large number of\n                  refinement steps. For evaluation purposes, we implemented\n                  CEGARETTE as an extension to the recently proposed CEGAR-NN\n                  framework. Our results are highly promising, and demonstrate\n                  a significant improvement in performance over multiple\n                  benchmarks.",\n}\n\n
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\n\n\n
\n Neural networks have become critical components of reactive systems in various do- mains within computer science. Despite their excellent performance, using neural networks entails numerous risks that stem from our lack of ability to understand and reason about their behavior. Due to these risks, various formal methods have been proposed for verify- ing neural networks; but unfortunately, these typically struggle with scalability barriers. Recent attempts have demonstrated that abstraction-refinement approaches could play a significant role in mitigating these limitations; but these approaches can often produce net- works that are so abstract, that they become unsuitable for verification. To deal with this issue, we present CEGARETTE, a novel verification mechanism where both the system and the property are abstracted and refined simultaneously. We observe that this approach allows us to produce abstract networks which are both small and sufficiently accurate, allowing for quick verification times while avoiding a large number of refinement steps. For evaluation purposes, we implemented CEGARETTE as an extension to the recently proposed CEGAR-NN framework. Our results are highly promising, and demonstrate a significant improvement in performance over multiple benchmarks.\n
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\n \n\n \n \n \n \n \n \n Toward Certified Robustness Against Real-World Distribution Shifts.\n \n \n \n \n\n\n \n Wu, H.; Tagomori, T.; Robey, A.; Yang, F.; Matni, N.; Pappas, G.; Hassani, H.; Păsăreanu, C.; and Barrett, C.\n\n\n \n\n\n\n In McDaniel, P.; and Papernot, N., editor(s), Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), pages 537–553, February 2023. IEEE\n Raleigh, NC\n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{WTR+23,\n  url       = "http://theory.stanford.edu/~barrett/pubs/WTR+23.pdf",\n  author    = "Haoze Wu and Teruhiro Tagomori and Alexander Robey and Fengjun Yang and Nikolai Matni and George Pappas and Hamed Hassani and Corina P{\\u{a}}s{\\u{a}}reanu and Clark Barrett",\n  title     = "Toward Certified Robustness Against Real-World Distribution Shifts",\n  booktitle = "Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)",\n  publisher = "IEEE",\n  editor    = "Patrick McDaniel and Nicolas Papernot",\n  month     = feb,\n  pages     = "537--553",\n  doi       = "10.1109/SaTML54575.2023.00042",\n  year      = 2023,\n  note      = "Raleigh, NC",\n  category  = "Conference Publications",\n  abstract  = "We consider the problem of certifying the robustness of deep\n                  neural networks against real-world distribution shifts. To do\n                  so, we bridge the gap between hand-crafted specifications and\n                  realistic deployment settings by considering a\n                  neural-symbolic verification framework in which generative\n                  models are trained to learn perturbations from data and\n                  specifications are defined with respect to the output of\n                  these learned models. A pervasive challenge arising from this\n                  setting is that although S-shaped activations (e.g., sigmoid,\n                  tanh) are common in the last layer of deep generative models,\n                  existing verifiers cannot tightly approximate S-shaped\n                  activations. To address this challenge, we propose a general\n                  meta-algorithm for handling S-shaped activations which\n                  leverages classical notions of counter-example-guided\n                  abstraction refinement. The key idea is to ``lazily'' refine\n                  the abstraction of S-shaped functions to exclude spurious\n                  counter-examples found in the previous abstraction, thus\n                  guaranteeing progress in the verification process while\n                  keeping the state-space small. For networks with sigmoid\n                  activations, we show that our technique outperforms\n                  state-of-the-art verifiers on certifying robustness against\n                  both canonical adversarial perturbations and numerous\n                  real-world distribution shifts. Furthermore, experiments on\n                  the MNIST and CIFAR-10 datasets show that\n                  distribution-shift-aware algorithms have significantly higher\n                  certified robustness against distribution shifts.",\n}\n\n
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\n We consider the problem of certifying the robustness of deep neural networks against real-world distribution shifts. To do so, we bridge the gap between hand-crafted specifications and realistic deployment settings by considering a neural-symbolic verification framework in which generative models are trained to learn perturbations from data and specifications are defined with respect to the output of these learned models. A pervasive challenge arising from this setting is that although S-shaped activations (e.g., sigmoid, tanh) are common in the last layer of deep generative models, existing verifiers cannot tightly approximate S-shaped activations. To address this challenge, we propose a general meta-algorithm for handling S-shaped activations which leverages classical notions of counter-example-guided abstraction refinement. The key idea is to ``lazily'' refine the abstraction of S-shaped functions to exclude spurious counter-examples found in the previous abstraction, thus guaranteeing progress in the verification process while keeping the state-space small. For networks with sigmoid activations, we show that our technique outperforms state-of-the-art verifiers on certifying robustness against both canonical adversarial perturbations and numerous real-world distribution shifts. Furthermore, experiments on the MNIST and CIFAR-10 datasets show that distribution-shift-aware algorithms have significantly higher certified robustness against distribution shifts.\n
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\n \n\n \n \n \n \n \n Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis.\n \n \n \n\n\n \n Shetty, A.; Dai, A.; Tzikas, A.; and Gao, G.\n\n\n \n\n\n\n In 2023 IEEE International Conference on Robotics and Automation (ICRA), pages 7872–7878, 2023. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{shetty2023safeguarding,\n  title={Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis},\n  author={Shetty, Akshay and Dai, Adam and Tzikas, Alexandros and Gao, Grace},\n  booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)},\n  pages={7872--7878},\n  year={2023},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Neural Radiance Maps for Extraterrestrial Navigation and Path Planning.\n \n \n \n\n\n \n Dai, A.; Gupta, S.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), pages 1606–1620, 2023. \n \n\n\n\n
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@inproceedings{dai2023neural,\n  title={Neural Radiance Maps for Extraterrestrial Navigation and Path Planning},\n  author={Dai, Adam and Gupta, Shubh and Gao, Grace},\n  booktitle={Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)},\n  pages={1606--1620},\n  year={2023}\n}\n\n
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\n \n\n \n \n \n \n \n Bounding GPS-Based Positioning and Navigation Uncertainty for Autonomous Drifting via Reachability.\n \n \n \n\n\n \n Wu, A.; Mohanty, A.; Zaman, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), pages 712–726, 2023. \n \n\n\n\n
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\n 
@inproceedings{wu2023bounding,\n  title={Bounding GPS-Based Positioning and Navigation Uncertainty for Autonomous Drifting via Reachability},\n  author={Wu, Asta and Mohanty, Adyasha and Zaman, Anonto and Gao, Grace},\n  booktitle={Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)},\n  pages={712--726},\n  year={2023}\n}\n\n
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\n \n\n \n \n \n \n \n Neural city maps: A case for 3d urban environment representations based on radiance fields.\n \n \n \n\n\n \n Partha, M.; Gupta, S.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), pages 1953–1973, 2023. \n \n\n\n\n
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@inproceedings{partha2023neural,\n  title={Neural city maps: A case for 3d urban environment representations based on radiance fields},\n  author={Partha, Mira and Gupta, Shubh and Gao, Grace},\n  booktitle={Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)},\n  pages={1953--1973},\n  year={2023}\n}\n\n
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\n \n\n \n \n \n \n \n Tightly coupled graph neural network and kalman filter for smartphone positioning.\n \n \n \n\n\n \n Mohanty, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), pages 175–187, 2023. \n \n\n\n\n
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\n 
@inproceedings{mohanty2023tightly,\n  title={Tightly coupled graph neural network and kalman filter for smartphone positioning},\n  author={Mohanty, Adyasha and Gao, Grace},\n  booktitle={Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)},\n  pages={175--187},\n  year={2023}\n}\n\n
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\n \n\n \n \n \n \n \n Neural city maps for GNSS nlos prediction.\n \n \n \n\n\n \n Neamati, D.; Gupta, S.; Partha, M.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), pages 2073–2087, 2023. \n \n\n\n\n
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@inproceedings{neamati2023neural,\n  title={Neural city maps for GNSS nlos prediction},\n  author={Neamati, Daniel and Gupta, Shubh and Partha, Mira and Gao, Grace},\n  booktitle={Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023)},\n  pages={2073--2087},\n  year={2023}\n}\n\n
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\n \n\n \n \n \n \n \n Learning GNSS positioning corrections for smartphones using graph convolution neural networks.\n \n \n \n\n\n \n Mohanty, A.; and Gao, G.\n\n\n \n\n\n\n NAVIGATION: Journal of the Institute of Navigation, 70(4). 2023.\n \n\n\n\n
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\n 
@article{mohanty2023learning,\n  title={Learning GNSS positioning corrections for smartphones using graph convolution neural networks},\n  author={Mohanty, Adyasha and Gao, Grace},\n  journal={NAVIGATION: Journal of the Institute of Navigation},\n  volume={70},\n  number={4},\n  year={2023},\n  publisher={Institute of Navigation}\n}\n\n
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\n \n\n \n \n \n \n \n Discovering Closed-Loop Failures of Vision-Based Controllers Via Reachability Analysis.\n \n \n \n\n\n \n Chakraborty, K.; and Bansal, S.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters. 2023.\n \n\n\n\n
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\n 
@article{chakraborty2023discovering,\n  title={Discovering Closed-Loop Failures of Vision-Based Controllers Via Reachability Analysis},\n  author={Chakraborty, Kaustav and Bansal, Somil},\n  journal={IEEE Robotics and Automation Letters},\n  year={2023},\n  publisher={IEEE}\n}
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\n \n\n \n \n \n \n \n \n Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.\n \n \n \n \n\n\n \n Xu, X.; Zhang, J. Y; Ma, E.; Son, H. H.; Koyejo, S.; and Li, B.\n\n\n \n\n\n\n In Chaudhuri, K.; Jegelka, S.; Song, L.; Szepesvari, C.; Niu, G.; and Sabato, S., editor(s), Proceedings of the 39th International Conference on Machine Learning, volume 162, of Proceedings of Machine Learning Research, pages 24770–24802, 17–23 Jul 2022. PMLR\n \n\n\n\n
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@InProceedings{pmlr-v162-xu22n,\n  title = \t {Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization},\n  author =       {Xu, Xiaojun and Zhang, Jacky Y and Ma, Evelyn and Son, Hyun Ho and Koyejo, Sanmi and Li, Bo},\n  booktitle = \t {Proceedings of the 39th International Conference on Machine Learning},\n  pages = \t {24770--24802},\n  year = \t {2022},\n  editor = \t {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},\n  volume = \t {162},\n  series = \t {Proceedings of Machine Learning Research},\n  month = \t {17--23 Jul},\n  publisher =    {PMLR},\n  pdf = \t {https://proceedings.mlr.press/v162/xu22n/xu22n.pdf},\n  url = \t {https://proceedings.mlr.press/v162/xu22n.html},\n  abstract = \t {Machine learning (ML) robustness and domain generalization are fundamentally correlated: they essentially concern data distribution shifts under adversarial and natural settings, respectively. On one hand, recent studies show that more robust (adversarially trained) models are more generalizable. On the other hand, there is a lack of theoretical understanding of their fundamental connections. In this paper, we explore the relationship between regularization and domain transferability considering different factors such as norm regularization and data augmentations (DA). We propose a general theoretical framework proving that factors involving the model function class regularization are sufficient conditions for relative domain transferability. Our analysis implies that “robustness" is neither necessary nor sufficient for transferability; rather, regularization is a more fundamental perspective for understanding domain transferability. We then discuss popular DA protocols (including adversarial training) and show when they can be viewed as the function class regularization under certain conditions and therefore improve generalization. We conduct extensive experiments to verify our theoretical findings and show several counterexamples where robustness and generalization are negatively correlated on different datasets.}\n}\n\n\n\n% for ION NAVIGATION, noticing: Only first letter of paper titles is capitalized, use capitalization for all words in journal names\n% Transactions kept in full, Proceedings became "Proc." ?\n\n% C106 \n% Shubh Gupta, Ashwin V. Kanhere, Akshay Shetty, and Grace Gao, Designing Deep Neural Networks for Sequential GNSS Positioning, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2022), Denver, CO, Sep 2022\n
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\n Machine learning (ML) robustness and domain generalization are fundamentally correlated: they essentially concern data distribution shifts under adversarial and natural settings, respectively. On one hand, recent studies show that more robust (adversarially trained) models are more generalizable. On the other hand, there is a lack of theoretical understanding of their fundamental connections. In this paper, we explore the relationship between regularization and domain transferability considering different factors such as norm regularization and data augmentations (DA). We propose a general theoretical framework proving that factors involving the model function class regularization are sufficient conditions for relative domain transferability. Our analysis implies that “robustness\" is neither necessary nor sufficient for transferability; rather, regularization is a more fundamental perspective for understanding domain transferability. We then discuss popular DA protocols (including adversarial training) and show when they can be viewed as the function class regularization under certain conditions and therefore improve generalization. We conduct extensive experiments to verify our theoretical findings and show several counterexamples where robustness and generalization are negatively correlated on different datasets.\n
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\n \n\n \n \n \n \n \n \n Designing Deep Neural Networks for Sequential GNSS Positioning.\n \n \n \n \n\n\n \n Gupta, S.; Kanhere, A. V; Shetty, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), pages 1209–1219, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"DesigningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{gupta2022designing,\n  title={Designing Deep Neural Networks for Sequential {GNSS} Positioning},\n  author={Gupta, Shubh and Kanhere, Ashwin V and Shetty, Akshay and Gao, Grace},\n  booktitle={Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)},\n  pages={1209--1219},\n  year={2022},\n  url={https://doi.org/10.33012/2022.18494}\n}\n\n% C105\n% Daniel Neamati, Sriramya Bhamidipati, and Grace Gao, Set-Based Ambiguity Reduction in Shadow Matching with Iterative GNSS Pseudoranges, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2022), Denver, CO, Sep 2022.\n
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\n \n\n \n \n \n \n \n \n Set-Based Ambiguity Reduction in Shadow Matching with Iterative GNSS Pseudoranges.\n \n \n \n \n\n\n \n Neamati, D.; Bhamidipati, S.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), pages 1093–1107, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Set-BasedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{neamati2022set,\n  title={Set-Based Ambiguity Reduction in Shadow Matching with Iterative GNSS Pseudoranges},\n  author={Neamati, Daniel and Bhamidipati, Sriramya and Gao, Grace},\n  booktitle={Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)},\n  pages={1093--1107},\n  year={2022},\n  url={https://doi.org/10.33012/2022.18467}\n}\n\n% C103\n% Adyasha Mohanty and Grace Gao, Learning GNSS Positioning Corrections for Smartphones using Graph Convolution Neural Networks, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2022), Denver, CO, Sep 2022.\n
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\n \n\n \n \n \n \n \n \n Learning GNSS Positioning Corrections for Smartphones using Graph Convolution Neural Networks.\n \n \n \n \n\n\n \n Mohanty, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), pages 2215–2225, 2022. \n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{mohanty2022learning,\n  title={Learning {GNSS} Positioning Corrections for Smartphones using Graph Convolution Neural Networks},\n  author={Mohanty, Adyasha and Gao, Grace},\n  booktitle={Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)},\n  pages={2215--2225},\n  year={2022},\n  url={https://doi.org/10.33012/2022.18372}\n}\n\n% C98\n% Amr Alanwar, Mahmoud Selim, Shreyas Kousik, Grace Gao, Marco Pavone and Karl H. Johansson, Safe Reinforcement Learning Using Black-Box Reachability Analysis, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022.\n
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\n \n\n \n \n \n \n \n \n Safe Reinforcement Learning Using Black-Box Reachability Analysis.\n \n \n \n \n\n\n \n Selim, M.; Alanwar, A.; Kousik, S.; Gao, G.; Pavone, M.; and Johansson, K. H\n\n\n \n\n\n\n In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"SafePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{selim2022safe,\n  title={Safe Reinforcement Learning Using Black-Box Reachability Analysis},\n  author={Selim, Mahmoud and Alanwar, Amr and Kousik, Shreyas and Gao, Grace and Pavone, Marco and Johansson, Karl H},\n  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},\n  year={2022},\n  url={https://arxiv.org/pdf/2204.07417.pdf}\n}\n\n\n% C97\n% Adyasha Mohanty, Asta Wu, Sriramya Bhamidipati and Grace Gao, Precise Relative Positioning via Tight-Coupling of GPS Carrier Phase Measurements and Multiple UWBs, IEEE International Conference on Robotics and Automation (ICRA) 2022.\n
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\n \n\n \n \n \n \n \n Precise relative positioning via tight-coupling of GPS carrier phase and multiple UWBs.\n \n \n \n\n\n \n Mohanty, A.; Wu, A.; Bhamidipati, S.; and Gao, G.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters, 7(2): 5757–5762. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{mohanty2022precise,\n  title={Precise relative positioning via tight-coupling of {GPS} carrier phase and multiple {UWBs}},\n  author={Mohanty, Adyasha and Wu, Asta and Bhamidipati, Sriramya and Gao, Grace},\n  journal={IEEE Robotics and Automation Letters},\n  volume={7},\n  number={2},\n  pages={5757--5762},\n  year={2022},\n  publisher={IEEE},\n  doi={https://doi.org/10.1109/LRA.2022.3145051}\n}\n\n% C92\n% Sriramya Bhamidipati, Shreyas Kousik and Grace Gao, Set-valued Shadow Matching using Zonotopes, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021.\n
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\n \n\n \n \n \n \n \n Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties.\n \n \n \n\n\n \n Shetty, A.; Hussain, T.; and Gao, G.\n\n\n \n\n\n\n Navigation: Journal of the Institute of Navigation. 2022.\n \n\n\n\n
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@article{shetty2022decentralized,\n  title={Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties},\n  author={Shetty, Akshay and Hussain, Timmy and Gao, Grace},\n  journal={Navigation: Journal of the Institute of Navigation},\n  year={2022}\n}\n\n% J37\n% Ashwin V. Kanhere*, Shubh Gupta*, Akshay Shetty and Grace Gao, Improving GNSS Positioning using Neural Network-based Corrections, Navigation: Journal of the Institute of Navigation. Accepted.\n% couldn't find in NAVIGATION open access? (https://navi.ion.org/search/)\n
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\n \n\n \n \n \n \n \n Improving GNSS Positioning using Neural Network-based Corrections.\n \n \n \n\n\n \n *Kanhere, A. V; *Gupta, S.; Shetty, A.; and Gao, G.\n\n\n \n\n\n\n Navigation: Journal of the Institute of Navigation. 2022.\n \n\n\n\n
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@article{kanhere2021improvingnav,\n  title={Improving {GNSS} Positioning using Neural Network-based Corrections},\n  author={*Kanhere, Ashwin V and *Gupta, Shubh and Shetty, Akshay and Gao, Grace},\n  journal={Navigation: Journal of the Institute of Navigation},\n  year={2022}\n}\n\n% J36\n% Derek Knowles and Grace Gao, Euclidean Distance Matrix-based Rapid Fault Detection and Exclusion, Navigation: Journal of the Institute of Navigation. Accepted.\n% couldn't find in NAVIGATION open access? (https://navi.ion.org/search/)\n
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\n \n\n \n \n \n \n \n Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization.\n \n \n \n\n\n \n Bhamidipati, S.; Kousik, S.; and Gao, G.\n\n\n \n\n\n\n Navigation: Journal of the Institute of Navigation. 2022.\n \n\n\n\n
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@article{bhamidipati2022set,\n  title={Set-Valued Shadow Matching Using Zonotopes for {3-D} Map-Aided {GNSS} Localization},\n  author={Bhamidipati, Sriramya and Kousik, Shreyas and Gao, Grace},\n  journal={Navigation: Journal of the Institute of Navigation},\n  year={2022}\n}\n\n% J33\n% Amr Alanwar, Mahmoud Selim, Shreyas Kousik, Grace Gao, Marco Pavone and Karl H. Johansson, Safe Reinforcement Learning Using Black-Box Reachability Analysis, IEEE Robotics and Automation Letter, 2022, vol. 7, no. 4, pp. 10665-10672, Oct. 2022, doi: 10.1109/LRA.2022.3192205.\n
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\n \n\n \n \n \n \n \n \n Safe Reinforcement Learning Using Black-Box Reachability Analysis.\n \n \n \n \n\n\n \n Selim, M.; Alanwar, A.; Kousik, S.; Gao, G.; Pavone, M.; and Johansson, K.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters, 7(4): 10665–10672. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"SafePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{alanwar2022safe,\n  title={Safe Reinforcement Learning Using Black-Box Reachability Analysis},\n  author={ Selim, Mahmoud  and Alanwar, Amr and Kousik, Shreyas and Gao, Grace and Pavone, Marco and Johansson, Karl},\n  journal={IEEE Robotics and Automation Letters},\n  volume={7},\n  number={4},\n  pages={10665--10672},\n  year={2022},\n  publisher={IEEE},\n  url={https://doi.org/10.1109/LRA.2022.3192205}\n}\n\n% J32\n% Shreyas Kousik, Adam Dai and Grace Gao, Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection, IEEE Transactions on Automatic Control, 2022, doi: 10.1109/TAC.2022.3191750.\n
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\n \n\n \n \n \n \n \n Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection.\n \n \n \n\n\n \n Kousik, S.; Dai, A.; and Gao, G.\n\n\n \n\n\n\n IEEE Transactions on Automatic Control,1–13. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{kousik2022ellipsotopes,\n  title={Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection},\n  author={Kousik, Shreyas and Dai, Adam and Gao, Grace},\n  journal={IEEE Transactions on Automatic Control},\n  pages={1--13},\n  year={2022},\n  publisher={IEEE},\n  doi={10.1109/TAC.2022.3191750}\n}\n\n% J29\n% Tara Mina and Grace Gao, Designing Low-Correlation GPS Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm, Navigation: Journal of the Institute of Navigation. vol. 69, no. 1, Mar. 2022. doi: 10.33012/navi.506.\n
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\n \n\n \n \n \n \n \n \n Designing Low-Correlation GPS Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm.\n \n \n \n \n\n\n \n Mina, T.; and Gao, G.\n\n\n \n\n\n\n Navigation: Journal of the Institute of Navigation, 69(1). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"DesigningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{mina2022designing,\n  title={Designing Low-Correlation {GPS} Spreading Codes with a Natural Evolution Strategy Machine Learning Algorithm},\n  author={Mina, Tara and Gao, Grace},\n  journal={Navigation: Journal of the Institute of Navigation},\n  volume={69},\n  number={1},\n  year={2022},\n  publisher={IEEE},\n  url={https://doi.org/10.33012/navi.506}\n}\n\n% J28\n% Sriramya Bhamidipati and Grace Gao, Robust GPS-Vision Localization via Integrity-Driven Landmark Attention, Navigation: Journal of the Institute of Navigation. vol. 69, no. 1, Mar. 2022. doi: 10.33012/navi.501. \n
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\n \n\n \n \n \n \n \n \n Robust GPS-Vision Localization via Integrity-Driven Landmark Attention.\n \n \n \n \n\n\n \n Bhamidipati, S.; and Gao, G.\n\n\n \n\n\n\n Navigation: Journal of the Institute of Navigation, 69(1). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"RobustPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{bhamidipati2022robust,\n  title={Robust {GPS}-Vision Localization via Integrity-Driven Landmark Attention},\n  author={Bhamidipati, Sriramya and Gao, Grace},\n  journal={Navigation: Journal of the Institute of Navigation},\n  volume={69},\n  number={1},\n  year={2022},\n  publisher={IEEE},\n  url={https://doi.org/10.33012/navi.501}\n}\n\n\n% J27\n% Adyasha Mohanty, Shubh Gupta and Grace Gao, A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion, Navigation: Journal of the Institute of Navigation. Dec. 2021. doi: 10.1002/navi.455. \n
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\n \n\n \n \n \n \n \n How do we fail? Stress testing perception in autonomous vehicles.\n \n \n \n\n\n \n Delecki, H.; Itkina, M.; Lange, B.; Senanayake, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. \n \n\n\n\n
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@InProceedings{Delecki2022,\nauthor = {Harrison Delecki and Masha Itkina and Bernard Lange and Ransalu Senanayake and Mykel J. Kochenderfer},\nbooktitle = iros,\ntitle = {How do we fail? {S}tress testing perception in autonomous vehicles},\nyear = {2022},\n}\n\n
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\n \n\n \n \n \n \n \n Interpretable self-aware neural networks for robust trajectory prediction.\n \n \n \n\n\n \n Itkina, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In corl, 2022. \n \n\n\n\n
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@InProceedings{Itkina2022corl,\nauthor = {Masha Itkina and Mykel J. Kochenderfer},\nbooktitle = corl,\ntitle = {Interpretable self-aware neural networks for robust trajectory prediction},\nyear = {2022},\n}\n\n
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\n \n\n \n \n \n \n \n \n Risk-driven design of perception systems.\n \n \n \n \n\n\n \n Corso, A.; Katz, S. M.; Innes, C. A; Du, X.; Ramamoorthy, S.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Advances in Neural Information Processing Systems (NIPS), 2022. \n \n\n\n\n
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@InProceedings{Corso2022,\nauthor = {Anthony Corso and Sydney Michelle Katz and Craig A Innes and Xin Du and Subramanian Ramamoorthy and Mykel J. Kochenderfer},\nbooktitle = nips,\ntitle = {Risk-driven design of perception systems},\nyear = {2022},\nurl = {https://arxiv.org/pdf/2205.10677.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n Verification of image-based neural network controllers using generative models.\n \n \n \n \n\n\n \n Katz, S. M.; Corso, A. L.; Strong, C. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Aerospace Information Systems. 2022.\n \n\n\n\n
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@Article{Katz2022,\nauthor = {Sydney M. Katz and Anthony L. Corso and Christopher A. Strong and Mykel J. Kochenderfer},\njournal = jais,\ntitle = {Verification of image-based neural network controllers using generative models},\nyear = {2022},\ndoi = {10.2514/1.I011071},\nurl = {https://arxiv.org/abs/2105.07091},\n}\n\n
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\n \n\n \n \n \n \n \n \n Algorithms for Decision Making.\n \n \n \n \n\n\n \n Kochenderfer, M. J.; Wheeler, T. A.; and Wray, K. H.\n\n\n \n\n\n\n MIT Press, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"AlgorithmsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Book{Kochenderfer2022,\nauthor = {Mykel J. Kochenderfer and Tim A. Wheeler and Kyle H. Wray},\npublisher = {MIT Press},\ntitle = {Algorithms for Decision Making},\nyear = {2022},\nurl = {https://mitpress.mit.edu/9780262047012/algorithms-for-decision-making/},\n}\n\n
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\n \n\n \n \n \n \n \n \n ZoPE: A fast optimizer for ReLU networks with low-dimensional inputs.\n \n \n \n \n\n\n \n Strong, C. A.; Katz, S. M.; Corso, A. L.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In NASA Formal Methods Symposium (NFM), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"ZoPE:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Strong2022,\nauthor = {Christopher A. Strong and Sydney M. Katz and Anthony L. Corso and Mykel J. Kochenderfer},\nbooktitle = {NASA Formal Methods Symposium (NFM)},\ntitle = {{ZoPE}: {A} fast optimizer for {ReLU} networks with low-dimensional inputs},\nyear = {2022},\nnumber = {2106.05325},\ndoi = {10.1007/978-3-031-06773-0_16},\njournal = arxiv,\nurl = {https://arxiv.org/abs/2106.05325},\n}\n\n
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\n \n\n \n \n \n \n \n \n OVERT: An algorithm for safety verification of neural network control policies for nonlinear systems.\n \n \n \n \n\n\n \n Sidrane, C.; Maleki, A.; Irfan, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Machine Learning Research, 23(117): 1–45. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"OVERT:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Sidrane2022,\nauthor = {Chelsea Sidrane and Amir Maleki and Ahmed Irfan and Mykel J. Kochenderfer},\njournal = jmlr,\ntitle = {{OVERT}: {A}n algorithm for safety verification of neural network control policies for nonlinear systems},\nyear = {2022},\nnumber = {117},\npages = {1--45},\nvolume = {23},\nurl = {https://jmlr.org/papers/volume23/21-0847/21-0847.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-agent variational occlusion inference using people as sensors.\n \n \n \n\n\n \n Itkina, M.; Mun, Y.; Driggs-Campbell, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2022. \n \n\n\n\n
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@InProceedings{Itkina2022,\nauthor = {Masha Itkina and Ye-Ji Mun and Katherine Driggs-Campbell and Mykel J. Kochenderfer},\nbooktitle = icra,\ntitle = {Multi-agent variational occlusion inference using people as sensors},\nyear = {2022},\ndoi = {10.1109/ICRA46639.2022.9811774},\n}\n\n
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\n \n\n \n \n \n \n \n \n Efficient Neural Network Analysis with Sum-of-Infeasibilities.\n \n \n \n \n\n\n \n Wu, H.; Zeljić, A.; Katz, G.; and Barrett, C.\n\n\n \n\n\n\n In Fisman, D.; and Rosu, G., editor(s), International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS), volume 13243, of Lecture Notes in Computer Science, pages 143–163, April 2022. Springer\n \n\n\n\n
\n\n\n\n \n \n \"EfficientPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{WZK+22,\n   author = {Haoze Wu and Aleksandar Zelji{\\'c} and Guy Katz and Clark\n\tBarrett},\n   editor = {Dana Fisman and Grigore Rosu},\n   title = {Efficient Neural Network Analysis with Sum-of-Infeasibilities},\n   booktitle = tacas,\n   series = {Lecture Notes in Computer Science},\n   volume = {13243},\n   pages = {143--163},\n   publisher = {Springer},\n   month = apr,\n   year = {2022},\n   doi = {10.1007/978-3-030-99524-9_24},\n   url = {http://www.cs.stanford.edu/~barrett/pubs/WZK+22.pdf}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Falsification of learning-based controllers through multi-fidelity Bayesian optimization.\n \n \n \n \n\n\n \n Shahrooei, Z.; Kochenderfer, M. J.; and Baheri, A.\n\n\n \n\n\n\n In European Control Conference (ECC), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"FalsificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Shahrooei2022,\n  author    = {Shahrooei, Zahra and Kochenderfer, Mykel J. and Baheri, Ali},\n  booktitle = {European Control Conference (ECC)},\n  title     = {Falsification of learning-based controllers through multi-fidelity {B}ayesian optimization},\n  year      = {2022},\n  doi       = {10.23919/ECC57647.2023.10178417},\n  url       = {https://arxiv.org/abs/2212.14118},\n}\n\n
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\n \n\n \n \n \n \n \n \n A deep reinforcement learning approach to rare event estimation.\n \n \n \n \n\n\n \n Corso, A.; Kim, K.; Gupta, S.; Gao, G.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Corso2022rare,\n  author  = {Corso, Anthony and Kim, Kyu-Young and Gupta, Shubh and Gao, Grace and Kochenderfer, Mykel J.},\n  journal = arxiv,\n  title   = {A deep reinforcement learning approach to rare event estimation},\n  year    = {2022},\n  url     = {https://arxiv.org/abs/2211.12470},\n}\n\n
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\n \n\n \n \n \n \n \n \n FIG-OP: Exploring large-scale unknown environments on a fixed time budget.\n \n \n \n \n\n\n \n Peltzer, O.; Bouman, A.; Kim, S.; Senanayake, R.; Ott, J.; Delecki, H.; Sobue, M.; Kochenderfer, M. J.; Schwager, M.; Burdick, J.; and Agha-mohammadi, A.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"FIG-OP:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Peltzer2022,\n\tauthor = {Oriana Peltzer and Amanda Bouman and Sung-Kyun Kim and Ransalu Senanayake and Joshua Ott and Harrison Delecki and Mamoru Sobue and Mykel J. Kochenderfer and Mac Schwager and Joel Burdick and Ali-akbar Agha-mohammadi},\n\tbooktitle = iros,\n\tdate-added = {2024-05-27 12:20:23 -0700},\n\tdate-modified = {2024-05-27 12:20:23 -0700},\n\tdoi = {10.1109/IROS47612.2022.9981271},\n\ttitle = {{FIG-OP}: {E}xploring large-scale unknown environments on a fixed time budget},\n\turl = {https://arxiv.org/abs/2203.06316},\n\tyear = {2022}\n}\n\n
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\n  \n 2021\n \n \n (20)\n \n \n
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\n \n\n \n \n \n \n \n \n Set-Valued Shadow Matching using Zonotopes.\n \n \n \n \n\n\n \n Bhamidipati, S.; Kousik, S.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), pages 2373–2390, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Set-ValuedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{bhamidipati2021set,\n  title={Set-Valued Shadow Matching using Zonotopes},\n  author={Bhamidipati, Sriramya and Kousik, Shreyas and Gao, Grace},\n  booktitle={Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)},\n  pages={2373--2390},\n  year={2021},\n  url={https://doi.org/10.33012/2021.17933}\n}\n\n% C91\n% Adyasha Mohanty and Grace Gao, A Particle Filtering Framework for Tight GNSS-Camera Fusion using Convolutional Neural Networks, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021.\n
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\n \n\n \n \n \n \n \n \n A Particle Filtering Framework for Tight GNSS-Camera Fusion using Convolutional Neural Networks.\n \n \n \n \n\n\n \n Mohanty, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), pages 2646–2655, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{mohanty2021particle,\n  title={A Particle Filtering Framework for Tight GNSS-Camera Fusion using Convolutional Neural Networks},\n  author={Mohanty, Adyasha and Gao, Grace},\n  booktitle={Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)},\n  pages={2646--2655},\n  year={2021},\n  url={https://doi.org/10.33012/2021.17940}\n}\n\n% C90\n% Adyasha Mohanty, Remy Zawislak, Sriramya Bhamidipati, and Grace Gao, Precise Relative Positioning for Tandem Drifting Cars, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021.\n
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\n \n\n \n \n \n \n \n \n Precise relative positioning for tandem drifting cars.\n \n \n \n \n\n\n \n Mohanty, A.; Zawislak, R.; Bhamidipati, S.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), pages 113–124, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"PrecisePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{mohanty2021precise,\n  title={Precise relative positioning for tandem drifting cars},\n  author={Mohanty, Adyasha and Zawislak, Remy and Bhamidipati, Sriramya and Gao, Grace},\n  booktitle={Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)},\n  pages={113--124},\n  year={2021},\n  url={https://doi.org/10.33012/2021.17871}\n}\n\n% C89 \n% Derek Knowles and Grace Gao, Euclidean Distance Matrix-based Rapid Fault Detection and Exclusion, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021.\n
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\n \n\n \n \n \n \n \n \n Euclidean Distance Matrix-based Rapid Fault Detection and Exclusion.\n \n \n \n \n\n\n \n Knowles, D.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), pages 3382–3391, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"EuclideanPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{knowles2021euclidean,\n  title={Euclidean Distance Matrix-based Rapid Fault Detection and Exclusion},\n  author={Knowles, Derek and Gao, Grace},\n  booktitle={Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)},\n  pages={3382--3391},\n  year={2021},\n  url={https://doi.org/10.33012/2021.17973}\n}\n\n% C87\n% Ashwin V. Kanhere*, Shubh Gupta*, Akshay Shetty and Grace Gao, Improving GNSS Positioning using Neural Network-based Corrections, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021.\n
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\n \n\n \n \n \n \n \n \n Improving GNSS Positioning using Neural Network-based Corrections.\n \n \n \n \n\n\n \n *Kanhere, A. V; *Gupta, S.; Shetty, A.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), pages 3068 – 3080, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kanhere2021improving,\n  title={Improving {GNSS} Positioning using Neural Network-based Corrections},\n  author={*Kanhere, Ashwin V and *Gupta, Shubh and Shetty, Akshay and Gao, Grace},\n  booktitle={Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)},\n  pages={3068 -- 3080},\n  year={2021},\n  url={https://doi.org/10.33012/2021.17999}\n}\n\n% C86\n% Akshay Shetty, Timmy Hussain and Grace Gao, Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021.\n
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\n \n\n \n \n \n \n \n \n Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties.\n \n \n \n \n\n\n \n Shetty, A.; Hussain, T.; and Gao, G.\n\n\n \n\n\n\n In Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), pages 2445–2458, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"DecentralizedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{shetty2021decentralized,\n  title={Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties},\n  author={Shetty, Akshay and Hussain, Timmy and Gao, Grace},\n  booktitle={Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021)},\n  pages={2445--2458},\n  year={2021},\n  url={https://doi.org/10.33012/2021.17943}\n}\n\n% C85\n% Long Kiu Chung*, Adam Dai*, Derek Knowles, Shreyas Kousik and Grace Gao, Constrained Feedforward Neural Network Training via Reachability Analysis, Robotics: Science and Systems (RSS 2021) Robotics for People (R4P) Workshop, Jul 2021.\n
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\n \n\n \n \n \n \n \n \n Constrained feedforward neural network training via reachability analysis.\n \n \n \n \n\n\n \n *Chung, L. K.; *Dai, A.; Knowles, D.; Kousik, S.; and Gao, G. X\n\n\n \n\n\n\n In Robotics: Science and Systems (RSS 2021) Robotics for People (R4P) Workshop, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"ConstrainedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{chung2021constrained,\n  title={Constrained feedforward neural network training via reachability analysis},\n  author={*Chung, Long Kiu and *Dai, Adam and Knowles, Derek and Kousik, Shreyas and Gao, Grace X},\n  booktitle={Robotics: Science and Systems (RSS 2021) Robotics for People (R4P) Workshop},\n  year={2021},\n  url={https://arxiv.org/abs/2107.07696}\n}\n\n\n\n% J38\n% Akshay Shetty, Timmy Hussain and Grace Gao, Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties, Navigation: Journal of the Institute of Navigation. Accepted.\n% couldn't find in NAVIGATION open access? (https://navi.ion.org/search/)\n
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\n \n\n \n \n \n \n \n A particle-filtering framework for integrity risk of GNSS-camera sensor fusion.\n \n \n \n\n\n \n Mohanty, A.; Gupta, S.; and Gao, G. X.\n\n\n \n\n\n\n Navigation, 68(4): 709–726. 2021.\n \n\n\n\n
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@article{mohanty2021particlenav,\n  title={A particle-filtering framework for integrity risk of {GNSS}-camera sensor fusion},\n  author={Mohanty, Adyasha and Gupta, Shubh and Gao, Grace Xingxin},\n  journal={Navigation},\n  volume={68},\n  number={4},\n  pages={709--726},\n  year={2021},\n  publisher={Wiley Online Library},\n  doi={10.1002/navi.455}\n}\n\n% J26\n% Shubh Gupta and Grace Gao, Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization, Navigation: Journal of the Institute of Navigation. vol. 68, no. 3, pp. 643-660, Sept. 2021. doi: 10.1002/navi.445.\n
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\n \n\n \n \n \n \n \n Data-driven protection levels for camera and 3D map-based safe urban localization.\n \n \n \n\n\n \n Gupta, S.; and Gao, G.\n\n\n \n\n\n\n Navigation, 68(3): 643–660. 2021.\n \n\n\n\n
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@article{gupta2021data,\n  title={Data-driven protection levels for camera and {3D} map-based safe urban localization},\n  author={Gupta, Shubh and Gao, Grace},\n  journal={Navigation},\n  volume={68},\n  number={3},\n  pages={643--660},\n  year={2021},\n  publisher={Wiley Online Library},\n  doi={10.1002/navi.445}\n}\n\n% J25\n% Akshay Shetty and Grace Gao, Predicting State Uncertainty Bounds Using Non-linear Stochastic Reachability Analysis for Urban GNSS-based UAS Navigation, IEEE Intelligent Transportation Systems, vol. 22, no. 9, pp. 5952-5961, Sept. 2021.doi: 10.1109/TITS.2020.3040517.\n
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\n \n\n \n \n \n \n \n \n Algorithms for verifying deep neural networks.\n \n \n \n \n\n\n \n Liu, C.; Arnon, T.; Lazarus, C.; Strong, C.; Barrett, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Foundations and Trends in Optimization, 4(3–4): 244–404. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"AlgorithmsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Liu2021,\nauthor = {Changliu Liu and Tomer Arnon and Christopher Lazarus and Christopher Strong and Clark Barrett and Mykel J. Kochenderfer},\njournal = {Foundations and Trends in Optimization},\ntitle = {Algorithms for verifying deep neural networks},\nyear = {2021},\nnumber = {3--4},\npages = {244--404},\nvolume = {4},\ndoi = {10.1561/2400000035},\nurl = {https://arxiv.org/abs/1903.06758},\n}\n\n
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\n \n\n \n \n \n \n \n Reachability analysis for neural network aircraft collision avoidance systems.\n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 44(6): 1132–1142. 2021.\n \n\n\n\n
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@Article{Julian2021,\nauthor = {Kyle D. Julian and Mykel J. Kochenderfer},\njournal = jgcd,\ntitle = {Reachability analysis for neural network aircraft collision avoidance systems},\nyear = {2021},\nnumber = {6},\npages = {1132--1142},\nvolume = {44},\ndoi = {10.2514/1.G005233},\n}\n\n
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\n \n\n \n \n \n \n \n \n Finding failures in high-fidelity simulation using adaptive stress testing and the backward algorithm.\n \n \n \n \n\n\n \n Koren, M.; Nassar, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. \n \n\n\n\n
\n\n\n\n \n \n \"FindingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Koren2021,\nauthor = {Mark Koren and Ahmed Nassar and Mykel J. Kochenderfer},\nbooktitle = iros,\ntitle = {Finding failures in high-fidelity simulation using adaptive stress testing and the backward algorithm},\nyear = {2021},\ndoi = {10.1109/IROS51168.2021.9636072},\nurl = {https://arxiv.org/abs/2107.12940},\n}\n\n
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\n \n\n \n \n \n \n \n \n Generating probabilistic safety guarantees for neural network controllers.\n \n \n \n \n\n\n \n Katz, S. M.; Julian, K. D.; Strong, C. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Machine Learning, (2103.01203). 2021.\n \n\n\n\n
\n\n\n\n \n \n \"GeneratingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Katz2021mlj,\nauthor = {Sydney M. Katz and Kyle D. Julian and Christopher A. Strong and Mykel J. Kochenderfer},\njournal = {Machine Learning},\ntitle = {Generating probabilistic safety guarantees for neural network controllers},\nyear = {2021},\nnumber = {2103.01203},\ndoi = {10.1007/s10994-021-06065-9},\nurl = {https://arxiv.org/abs/2103.01203},\n}\n\n
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\n \n\n \n \n \n \n \n \n Transfer learning for efficient iterative safety validation.\n \n \n \n \n\n\n \n Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AAAI Conference on Artificial Intelligence (AAAI), 2021. \n \n\n\n\n
\n\n\n\n \n \n \"TransferPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Corso2021,\nauthor = {Anthony Corso and Mykel J. Kochenderfer},\nbooktitle = aaai,\ntitle = {Transfer learning for efficient iterative safety validation},\nyear = {2021},\nurl = {https://ojs.aaai.org/index.php/AAAI/article/view/16876},\n}\n\n
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\n \n\n \n \n \n \n \n \n Out-of-distribution detection for automotive perception.\n \n \n \n \n\n\n \n Nitsch, J.; Itkina, M.; Senanayake, R.; Nieto, J.; Schmidt, M.; Siegwart, R.; Kochenderfer, M. J.; and Cadena, C.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Out-of-distributionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Nitsch2021,\nauthor = {Julia Nitsch and Masha Itkina and Ransalu Senanayake and Juan Nieto and Max Schmidt and Roland Siegwart and Mykel J. Kochenderfer and Cesar Cadena},\nbooktitle = itsc,\ntitle = {Out-of-distribution detection for automotive perception},\nyear = {2021},\nurl = {https://arxiv.org/abs/2011.01413},\n}\n\n
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\n \n\n \n \n \n \n \n A survey of algorithms for black-box safety validation of cyber-physical systems.\n \n \n \n\n\n \n Corso, A.; Moss, R. J.; Koren, M.; Lee, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Artificial Intelligence Research, 72(2005.02979): 377–428. 2021.\n \n\n\n\n
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@Article{Corso2021survey,\nauthor = {Anthony Corso and Robert J. Moss and Mark Koren and Ritchie Lee and Mykel J. Kochenderfer},\njournal = jair,\ntitle = {A survey of algorithms for black-box safety validation of cyber-physical systems},\nyear = {2021},\nnumber = {2005.02979},\npages = {377--428},\nvolume = {72},\ndoi = {10.1613/jair.1.12716},\n}\n\n
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\n \n\n \n \n \n \n \n Learning from Imperfect Demonstrations from Agents with Varying Dynamics.\n \n \n \n\n\n \n Cao, Z.; and Sadigh, D.\n\n\n \n\n\n\n IEEE Robotics and Automation Letters (RA-L). 2021.\n \n\n\n\n
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@article{cao2021learning,\n title = {Learning from Imperfect Demonstrations from Agents with Varying Dynamics},\n author = {Cao, Zhangjie and Sadigh, Dorsa},\n journal = {IEEE Robotics and Automation Letters (RA-L)},\n year = {2021}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n On the Critical Role of Conventions in Adaptive Human-AI Collaboration.\n \n \n \n\n\n \n Shih, A.; Sawhney, A.; Kondic, J.; Ermon, S.; and Sadigh, D.\n\n\n \n\n\n\n In 9th International Conference on Learning Representations (ICLR), 2021. \n \n\n\n\n
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@inproceedings{shih2021critical,\n title = {On the Critical Role of Conventions in Adaptive Human-AI Collaboration},\n author = {Shih, Andy and Sawhney, Arjun and Kondic, Jovana and Ermon, Stefano and Sadigh, Dorsa},\n booktitle={9th International Conference on Learning Representations (ICLR)},\n year = {2021}\n}\n\n
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\n \n\n \n \n \n \n \n \n An SMT-Based Approach for Verifying Binarized Neural Networks.\n \n \n \n \n\n\n \n Amir, G.; Wu, H.; Barrett, C.; and Katz, G.\n\n\n \n\n\n\n In Groote, J. F.; and Larsen, K. G., editor(s), Proceedings of the $27^{th}$ International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS '21), volume 12652, of Lecture Notes in Computer Science, pages 203–222, mar 2021. Springer\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{AWB+21,\n  url       = "http://www.cs.stanford.edu/~barrett/pubs/AWB+21.pdf",\n  author    = "Guy Amir and Haoze Wu and Clark Barrett and Guy Katz",\n  title     = "An {SMT}-Based Approach for Verifying Binarized Neural Networks",\n  booktitle = "Proceedings of the $27^{th}$ International Conference on Tools\n                  and Algorithms for the Construction and Analysis of Systems\n                  (TACAS '21)",\n  series    = "Lecture Notes in Computer Science",\n  publisher = "Springer",\n  editor    = "Jan Friso Groote and Kim Guldstrand Larsen",\n  volume    = "12652",\n  pages     = "203--222",\n  month     = {mar},\n  year      = "2021",\n  doi       = "10.1007/978-3-030-72013-1",\n  category  = "Conference Publications",\n  abstract  = "Deep learning has emerged as an effective approach for creating\n                  modern software systems, with neural networks often\n                  surpassing hand-crafted systems. Unfortunately, neural\n                  networks are known to suffer from various safety and security\n                  issues. Formal verification is a promising avenue for\n                  tackling this difficulty, by formally certifying that\n                  networks are correct. We propose an SMT-based technique for\n                  verifying binarized neural networks---a popular kind of\n                  neural network, where some weights have been binarized in\n                  order to render the neural network more memory and energy\n                  efficient, and quicker to evaluate. One novelty of our\n                  technique is that it allows the verification of neural\n                  networks that include both binarized and non-binarized\n                  components. Neural network verification is computationally\n                  very difficult, and so we propose here various optimizations,\n                  integrated into our SMT procedure as deduction steps, as well\n                  as an approach for parallelizing verification queries. We\n                  implement our technique as an extension to the Marabou\n                  framework, and use it to evaluate the approach on popular\n                  binarized neural network architectures."\n}\n\n
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\n Deep learning has emerged as an effective approach for creating modern software systems, with neural networks often surpassing hand-crafted systems. Unfortunately, neural networks are known to suffer from various safety and security issues. Formal verification is a promising avenue for tackling this difficulty, by formally certifying that networks are correct. We propose an SMT-based technique for verifying binarized neural networks—a popular kind of neural network, where some weights have been binarized in order to render the neural network more memory and energy efficient, and quicker to evaluate. One novelty of our technique is that it allows the verification of neural networks that include both binarized and non-binarized components. Neural network verification is computationally very difficult, and so we propose here various optimizations, integrated into our SMT procedure as deduction steps, as well as an approach for parallelizing verification queries. We implement our technique as an extension to the Marabou framework, and use it to evaluate the approach on popular binarized neural network architectures.\n
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\n \n\n \n \n \n \n \n Platform governance and the rural–urban divide: Sellers' responses to design change.\n \n \n \n\n\n \n Koo, W. W; and Eesley, C. E\n\n\n \n\n\n\n Strategic Management Journal, 42(5): 941–967. 2021.\n \n\n\n\n
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@article{koo2021platform,\n  title={Platform governance and the rural--urban divide: Sellers' responses to design change},\n  author={Koo, Wesley W and Eesley, Charles E},\n  journal={Strategic Management Journal},\n  volume={42},\n  number={5},\n  pages={941--967},\n  year={2021},\n  publisher={Wiley Online Library}\n}\n\n
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\n  \n 2020\n \n \n (13)\n \n \n
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\n \n\n \n \n \n \n \n Towards Verification of Neural Networks for Small Unmanned Aircraft Collision Avoidance.\n \n \n \n\n\n \n Irfan, A.; Julian, K. D.; Wu, H.; Barrett, C.; Kochenderfer, M. J.; Meng, B.; and Lopez, J.\n\n\n \n\n\n\n In 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), pages 1-10, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@INPROCEEDINGS{9256616,\nauthor={A. {Irfan} and K. D. {Julian} and H. {Wu} and C. {Barrett} and M. J. {Kochenderfer} and B. {Meng} and J. {Lopez}},\nbooktitle={2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)},\ntitle={Towards Verification of Neural Networks for Small Unmanned Aircraft Collision Avoidance},\nyear={2020},\nvolume={},\nnumber={},\npages={1-10},\ndoi={10.1109/DASC50938.2020.9256616}}\n\n
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\n \n\n \n \n \n \n \n Parallelization Techniques for Verifying Neural Networks.\n \n \n \n\n\n \n Wu, H.; Ozdemir, A.; Zeljić, A.; Julian, K.; Irfan, A.; Gopinath, D.; Fouladi, S.; Katz, G.; Pasareanu, C.; and Barrett, C.\n\n\n \n\n\n\n In 2020 Formal Methods in Computer Aided Design (FMCAD), pages 128-137, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@INPROCEEDINGS{9283631,\n  author={H. {Wu} and A. {Ozdemir} and A. {Zeljić} and K. {Julian} and A. {Irfan} and D. {Gopinath} and S. {Fouladi} and G. {Katz} and C. {Pasareanu} and C. {Barrett}},\nbooktitle={2020 Formal Methods in Computer Aided Design (FMCAD)}, \ntitle={Parallelization Techniques for Verifying Neural Networks}, \nyear={2020},\nvolume={},\nnumber={},\npages={128-137},\ndoi={10.34727/2020/isbn.978-3-85448-042-6_20}}\n\n
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\n \n\n \n \n \n \n \n Predicting state uncertainty bounds using non-linear stochastic reachability analysis for urban GNSS-based UAS navigation.\n \n \n \n\n\n \n Shetty, A.; and Gao, G. X.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 22(9): 5952–5961. 2020.\n \n\n\n\n
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@article{shetty2020predicting,\n  title={Predicting state uncertainty bounds using non-linear stochastic reachability analysis for urban {GNSS}-based {UAS} navigation},\n  author={Shetty, Akshay and Gao, Grace Xingxin},\n  journal={IEEE Transactions on Intelligent Transportation Systems},\n  volume={22},\n  number={9},\n  pages={5952--5961},\n  year={2020},\n  publisher={IEEE},\n  doi={10.1109/TITS.2020.3040517}\n}\n\n\n
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\n \n\n \n \n \n \n \n Learning Latent Representations to Influence Multi-Agent Interaction.\n \n \n \n\n\n \n Xie, A.; Losey, D.; Tolsma, R.; Finn, C.; and Sadigh, D.\n\n\n \n\n\n\n In Proceedings of the 4th Conference on Robot Learning (CoRL), 2020. \n \n\n\n\n
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@inproceedings{xie2020learning,\n title={Learning Latent Representations to Influence Multi-Agent Interaction},\n author={Xie, Annie and Losey, Dylan and Tolsma, Ryan and Finn, Chelsea and Sadigh, Dorsa},\n booktitle={Proceedings of the 4th Conference on Robot Learning (CoRL)},\n year={2020}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Verifying Recurrent Neural Networks Using Invariant Inference.\n \n \n \n\n\n \n Jacoby, Y.; Barrett, C.; and Katz, G.\n\n\n \n\n\n\n In Hung, D. V.; and Sokolsky, O., editor(s), Automated Technology for Verification and Analysis, pages 57–74, Cham, 2020. Springer International Publishing\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{10.1007/978-3-030-59152-6_3,\nauthor="Jacoby, Yuval\nand Barrett, Clark\nand Katz, Guy",\neditor="Hung, Dang Van\nand Sokolsky, Oleg",\ntitle="Verifying Recurrent Neural Networks Using Invariant Inference",\nbooktitle="Automated Technology for Verification and Analysis",\nyear="2020",\npublisher="Springer International Publishing",\naddress="Cham",\npages="57--74",\nabstract="Deep neural networks are revolutionizing the way complex systems are developed. However, these automatically-generated networks are opaque to humans, making it difficult to reason about them and guarantee their correctness. Here, we propose a novel approach for verifying properties of a widespread variant of neural networks, called recurrent neural networks. Recurrent neural networks play a key role in, e.g., speech recognition, and their verification is crucial for guaranteeing the reliability of many critical systems. Our approach is based on the inference of invariants, which allow us to reduce the complex problem of verifying recurrent networks into simpler, non-recurrent problems. Experiments with a proof-of-concept implementation of our approach demonstrate that it performs orders-of-magnitude better than the state of the art.",\nisbn="978-3-030-59152-6"\n}\n
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\n Deep neural networks are revolutionizing the way complex systems are developed. However, these automatically-generated networks are opaque to humans, making it difficult to reason about them and guarantee their correctness. Here, we propose a novel approach for verifying properties of a widespread variant of neural networks, called recurrent neural networks. Recurrent neural networks play a key role in, e.g., speech recognition, and their verification is crucial for guaranteeing the reliability of many critical systems. Our approach is based on the inference of invariants, which allow us to reduce the complex problem of verifying recurrent networks into simpler, non-recurrent problems. Experiments with a proof-of-concept implementation of our approach demonstrate that it performs orders-of-magnitude better than the state of the art.\n
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\n \n\n \n \n \n \n \n Simplifying Neural Networks using Formal Verification.\n \n \n \n\n\n \n Gokulanathan, S.; Feldsher, A.; Malca, A.; Barrett, C.; and Katz, G.\n\n\n \n\n\n\n 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{gokulanathan2020simplifying,\ntitle={Simplifying Neural Networks using Formal Verification}, \nauthor={Sumathi Gokulanathan and Alexander Feldsher and Adi Malca and Clark Barrett and Guy Katz},\nyear={2020},\neprint={1910.12396},\narchivePrefix={arXiv},\nprimaryClass={cs.LO}\n}\n\n
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\n \n\n \n \n \n \n \n Towards formal verification of ACAS sXu.\n \n \n \n\n\n \n Irfan, A.; Julian, K. D.; Wu, H.; Barrett, C.; Kochenderfer, M. J.; Meng, B.; and Lopez, J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2020. \n \n\n\n\n
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@InProceedings{Irfan2020,\nauthor = {Ahmed Irfan and Kyle D. Julian and Haoze Wu and Clark Barrett and Mykel J. Kochenderfer and Baoluo Meng and James Lopez},\nbooktitle = dasc,\ntitle = {Towards formal verification of {ACAS sXu}},\nyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Runtime safety assurance using reinforcement learning.\n \n \n \n\n\n \n Lazarus, C.; Lopez, J. G.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2020. \n \n\n\n\n
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@InProceedings{Lazarus2020,\nauthor = {Christopher Lazarus and James G. Lopez and Mykel J. Kochenderfer},\nbooktitle = dasc,\ntitle = {Runtime safety assurance using reinforcement learning},\nyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Normalizing flow policies for multiagent systems.\n \n \n \n \n\n\n \n Ma, X.; Gupta, J. K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020. \n \n\n\n\n
\n\n\n\n \n \n \"NormalizingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ma2020aamas,\nauthor = {Xiaobai Ma and Jayesh K. Gupta and Mykel J. Kochenderfer},\nbooktitle = aamas,\ntitle = {Normalizing flow policies for multiagent systems},\nyear = {2020},\nurl = {http://ifaamas.org/Proceedings/aamas2020/pdfs/p1916.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Policy representation in continuous action games.\n \n \n \n\n\n \n Ma, X.; Gupta, J. K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AAAI Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) Symposium, 2020. \n \n\n\n\n
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@InProceedings{Ma2020comarl,\nauthor = {Xiaobai Ma and Jayesh K. Gupta and Mykel J. Kochenderfer},\nbooktitle = {AAAI Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) Symposium},\ntitle = {Policy representation in continuous action games},\nyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptive stress testing of trajectory predictions in flight management systems.\n \n \n \n\n\n \n Moss, R. J.; Lee, R.; Visser, N.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2020. \n \n\n\n\n
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@InProceedings{Moss2020,\nauthor = {Robert J. Moss and Ritchie Lee and Nicholas Visser and Mykel J. Kochenderfer},\nbooktitle = dasc,\ntitle = {Adaptive stress testing of trajectory predictions in flight management systems},\nyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Directional primitives for uncertainty-aware motion estimation in urban environments.\n \n \n \n \n\n\n \n Senanayake, R.; Toyungyernsub, M.; Wang, M.; Kochenderfer, M. J.; and Schwager, M.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020. \n \n\n\n\n
\n\n\n\n \n \n \"DirectionalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Senanayake2020,\n\tauthor = {Ransalu Senanayake and Maneekwan Toyungyernsub and Mingyu Wang and Mykel J. Kochenderfer and Mac Schwager},\n\tbooktitle = itsc,\n\tdate-added = {2024-05-27 12:20:23 -0700},\n\tdate-modified = {2024-05-27 12:20:23 -0700},\n\tdoi = {10.1109/ITSC45102.2020.9294288},\n\ttitle = {Directional primitives for uncertainty-aware motion estimation in urban environments},\n\turl = {https://arxiv.org/abs/2007.00161},\n\tyear = {2020}\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimal sequential task assignment and path finding for multi-agent robotic assembly planning.\n \n \n \n \n\n\n \n Brown, K.; Peltzer, O.; Sehr, M. A.; Schwager, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2020. \n \n\n\n\n
\n\n\n\n \n \n \"OptimalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Brown2020,\n\tauthor = {Kyle Brown and Oriana Peltzer and Martin A. Sehr and Mac Schwager and Mykel J. Kochenderfer},\n\tbooktitle = icra,\n\tdate-added = {2024-05-27 12:20:23 -0700},\n\tdate-modified = {2024-05-27 12:20:23 -0700},\n\tdoi = {10.1109/ICRA40945.2020.9197527},\n\ttitle = {Optimal sequential task assignment and path finding for multi-agent robotic assembly planning},\n\turl = {https://arxiv.org/abs/2006.08845},\n\tyear = {2020}\n}\n\n
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\n  \n 2019\n \n \n (29)\n \n \n
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\n \n\n \n \n \n \n \n Integration and Flight Test of Small UAS Detect and Avoid on A Miniaturized Avionics Platform.\n \n \n \n\n\n \n Lopez, J. G.; Ren, L.; Meng, B.; Fisher, R.; Markham, J.; Figard, M.; Evans, R.; Evans, R.; Spoelhof, R.; Rubenstahl, M.; Edwards, S.; Pedan, I.; and Barrett, C.\n\n\n \n\n\n\n In 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), pages 1-5, 2019. \n \n\n\n\n
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@INPROCEEDINGS{9081780,\nauthor={J. G. {Lopez} and L. {Ren} and B. {Meng} and R. {Fisher} and J. {Markham} and M. {Figard} and R. {Evans} and R. {Evans} and R. {Spoelhof} and M. {Rubenstahl} and S. {Edwards} and I. {Pedan} and C. {Barrett}},\nbooktitle={2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)},\ntitle={Integration and Flight Test of Small UAS Detect and Avoid on A Miniaturized Avionics Platform},\nyear={2019},\nvolume={},\nnumber={},\npages={1-5},\ndoi={10.1109/DASC43569.2019.9081780}}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive stress testing with reward augmentation for autonomous vehicle validation.\n \n \n \n \n\n\n \n Corso, A.; Du, P.; Driggs-Campbell, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"AdaptivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 9 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Corso2019itsc,\nauthor = {Anthony Corso and Peter Du and Katherine Driggs-Campbell and Mykel J. Kochenderfer},\nbooktitle = itsc,\ntitle = {Adaptive stress testing with reward augmentation for autonomous vehicle validation},\nyear = {2019},\ndoi = {10.1109/ITSC.2019.8917242},\nurl = {https://arxiv.org/abs/1908.01046},\n}\n\n
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\n \n\n \n \n \n \n \n \n The adaptive stress testing formulation.\n \n \n \n \n\n\n \n Koren, M.; Corso, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Workshop on Safe Autonomy, Robotics: Science and Systems, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Koren2019rss,\nauthor = {Mark Koren and Anthony Corso and Mykel J. Kochenderfer},\nbooktitle = {Workshop on Safe Autonomy, } # rss,\ntitle = {The adaptive stress testing formulation},\nyear = {2019},\nurl = {https://arxiv.org/abs/1811.02188},\n}\n\n
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\n \n\n \n \n \n \n \n \n NeuralVerification.jl: Algorithms for verifying deep neural networks.\n \n \n \n \n\n\n \n Liu, C.; Arnon, T.; Lazarus, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Workshop on Debugging Machine Learning, iclr, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"NeuralVerification.jl:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Liu2019iclr,\nauthor = {Changliu Liu and Tomer Arnon and Christopher Lazarus and Mykel J. Kochenderfer},\nbooktitle = {Workshop on Debugging Machine Learning, } # iclr,\ntitle = {{N}eural{V}erification.jl: {A}lgorithms for verifying deep neural networks},\nyear = {2019},\nurl = {https://debug-ml-iclr2019.github.io/cameraready/DebugML-19_paper_22.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n Monte Carlo tree search for policy optimization.\n \n \n \n \n\n\n \n Ma, X.; Driggs-Campbell, K.; Zhang, Z.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Joint Conference on Artificial Intelligence (IJCAI), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"MontePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ma2019ijcai,\nauthor = {Xiaobai Ma and Katherine Driggs-Campbell and Zongzhang Zhang and Mykel J. Kochenderfer},\nbooktitle = ijcai,\ntitle = {Monte {C}arlo tree search for policy optimization},\nyear = {2019},\nurl = {https://www.ijcai.org/proceedings/2019/0432.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n The Marabou Framework for Verification and Analysis of Deep Neural Networks.\n \n \n \n\n\n \n Guy Katz, D. A. H.; and Barrett, C.\n\n\n \n\n\n\n In To appear in Proceedings of the $31^{st}$ International Conference on Computer Aided Verification (CAV '19), July 2019. \n \n\n\n\n
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@InProceedings{katz2019,\n  title     = {The Marabou Framework for Verification and Analysis of Deep Neural Networks},\n  author    = {Guy Katz, Derek A. Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zelji\\'{c}, David L. Dill, Mykel Kochenderfer, and Clark Barrett},\n  booktitle = {To appear in Proceedings of the $31^{st}$ International Conference on Computer Aided Verification (CAV '19)},\n  year      = {2019},\n  month     = {July}\n}\n\n
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\n \n\n \n \n \n \n \n Influencing Leading and Following in Human-Robot Teams.\n \n \n \n\n\n \n Kwon, M.; Li, M.; Bucquet, A.; and Sadigh, D.\n\n\n \n\n\n\n In Proceedings of Robotics: Science and Systems (RSS), June 2019. \n \n\n\n\n
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@inproceedings{kwon2019influencing,\n title={Influencing Leading and Following in Human-Robot Teams},\n author={Kwon, Minae and Li, Mengxi and Bucquet, Alexandre and Sadigh, Dorsa},\n booktitle={Proceedings of Robotics: Science and Systems (RSS)},\n year={2019},\n month={June}\n}\n\n
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\n \n\n \n \n \n \n \n Learning Reward Functions by Integrating Human Demonstrations and Preferences.\n \n \n \n\n\n \n Palan, M.; Shevchuk, G.; Landolfi, N. C.; and Sadigh, D.\n\n\n \n\n\n\n In Proceedings of Robotics: Science and Systems (RSS), June 2019. \n \n\n\n\n
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@inproceedings{palan2019learning,\n title={Learning Reward Functions by Integrating Human Demonstrations and Preferences},\n author={Palan, Malayandi and Shevchuk, Gleb and Landolfi, Nicholas C. and Sadigh, Dorsa},\n booktitle={Proceedings of Robotics: Science and Systems (RSS)},\n year={2019},\n month={June}\n}\n\n
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\n \n\n \n \n \n \n \n Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models.\n \n \n \n\n\n \n Biyik, E.; Margoliash, J.; Alimo, S. R.; and Sadigh, D.\n\n\n \n\n\n\n In Proceedings of the American Control Conference (ACC), July 2019. \n \n\n\n\n
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@inproceedings{biyik2019efficient,\n title={Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models},\n author={Biyik, Erdem and Margoliash, Jonathan and Alimo, Shahrouz R. and Sadigh, Dorsa},\n booktitle={Proceedings of the American Control Conference (ACC)},\n year={2019},\n month={July}\n}\n\n
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\n \n\n \n \n \n \n \n Unsupervised Visuomotor Control through Distributional Planning Networks.\n \n \n \n\n\n \n Yu, T.; Shevchuk, G.; Sadigh, D.; and Finn, C.\n\n\n \n\n\n\n In Proceedings of Robotics: Science and Systems (RSS), June 2019. \n \n\n\n\n
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@inproceedings{yu2019unsupervised,\n title={Unsupervised Visuomotor Control through Distributional Planning Networks},\n author={Yu, Tianhe and Shevchuk, Gleb and Sadigh, Dorsa and Finn, Chelsea},\n booktitle={Proceedings of Robotics: Science and Systems (RSS)},\n year={2019},\n month={June}\n}\n\n
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\n \n\n \n \n \n \n \n \n Deep neural network compression for aircraft collision avoidance systems.\n \n \n \n \n\n\n \n Julian, K. D.; Kochenderfer, M. J.; and Owen, M. P.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 42(3): 598–608. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"DeepPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Julian2019jgcd,\n  author  = {Kyle D. Julian and Mykel J. Kochenderfer and Michael P. Owen},\n  title   = {Deep neural network compression for aircraft collision avoidance systems},\n  journal = jgcd,\n  year    = {2019},\n  volume  = {42},\n  number  = {3},\n  pages   = {598--608},\n  doi     = {10.2514/1.G003724},\n  url     = {https://arxiv.org/abs/1810.04240},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptive stress testing of trajectory planning systems.\n \n \n \n\n\n \n Lee, R.; Mengshoel, O. J.; Agogino, A.; Giannakoupoulou, D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In scitech, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Lee2019,\n  author    = {Ritchie Lee and Ole J. Mengshoel and Adrian Agogino and Dimitra Giannakoupoulou and Mykel J. Kochenderfer},\n  title     = {Adaptive stress testing of trajectory planning systems},\n  booktitle = scitech,\n  year      = {2019},\n  doi       = {10.2514/6.2019-1454},\n}\n\n
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\n \n\n \n \n \n \n \n \n EnsembleDAgger: a Bayesian approach to safe imitation learning.\n \n \n \n \n\n\n \n Menda, K.; Driggs-Campbell, K. R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Uncertainty and Robustness in Deep Learning Workshop, International Conference on Machine Learning (ICML), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"EnsembleDAgger:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Menda2019ensemble,\n  author    = {Kunal Menda and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},\n  title     = {Ensemble{DA}gger: a {B}ayesian approach to safe imitation learning},\n  booktitle = {Uncertainty and Robustness in Deep Learning Workshop, } # icml,\n  year      = {2019},\n  url       = {https://arxiv.org/abs/1807.08364},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptive stress testing of safety-critical systems.\n \n \n \n\n\n \n Lee, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Yu, H.; Li, X.; Murray, R.; Ramesh, S.; and Tomlin, C. J., editor(s), Safe, Autonomous and Intelligent Vehicles. Springer, 2019.\n \n\n\n\n
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@InCollection{Lee2019saiv,\n  author    = {Ritchie Lee and Mykel J. Kochenderfer},\n  title     = {Adaptive stress testing of safety-critical systems},\n  booktitle = {Safe, Autonomous and Intelligent Vehicles},\n  publisher = {Springer},\n  year      = {2019},\n  editor    = {Huafeng Yu and Xin Li and Richard Murray and S. Ramesh and Claire J. Tomlin},\n}\n\n
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\n \n\n \n \n \n \n \n \n Distributed wildfire surveillance with autonomous aircraft using deep reinforcement learning.\n \n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"DistributedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Julian2019jgcdfire,\n  author  = {Kyle D. Julian and Mykel J. Kochenderfer},\n  title   = {Distributed wildfire surveillance with autonomous aircraft using deep reinforcement learning},\n  journal = jgcd,\n  year    = {2019},\n  doi     = {10.2514/1.G004106},\n  url     = {https://arxiv.org/abs/1810.04244},\n}\n\n
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\n \n\n \n \n \n \n \n \n Real-time prediction of automotive collision risk from monocular video.\n \n \n \n \n\n\n \n Phillips, D. J.; Aragon, J. C.; Roychowdhury, A.; Madigan, R.; Chintakindi, S.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv, (1902.01293). 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Real-timePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Phillips2019iv,\n  author  = {Derek J. Phillips and Juan Carlos Aragon and Anjali Roychowdhury and Regina Madigan and Sunil Chintakindi and Mykel J. Kochenderfer},\n  title   = {Real-time prediction of automotive collision risk from monocular video},\n  journal = arxiv,\n  year    = {2019},\n  number  = {1902.01293},\n  url     = {https://arxiv.org/abs/1902.01293},\n}\n\n
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\n \n\n \n \n \n \n \n \n Verifying aircraft collision avoidance neural networks through linear approximations of safe regions.\n \n \n \n \n\n\n \n Julian, K. D.; Sharma, S.; Jeannin, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Spring Symposium, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"VerifyingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Julian2019vnn,\n  author    = {Kyle D. Julian and Shivam Sharma and Jean-Baptiste Jeannin and Mykel J. Kochenderfer},\n  title     = {Verifying aircraft collision avoidance neural networks through linear approximations of safe regions},\n  booktitle = {AIAA Spring Symposium},\n  year      = {2019},\n  url       = {https://arxiv.org/abs/1903.00762},\n}\n\n
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\n \n\n \n \n \n \n \n \n A reachability method for verifying dynamical systems with deep neural network controllers.\n \n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv, (1903.00520). 2019.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Julian2019reach,\n  author  = {Kyle D. Julian and Mykel J. Kochenderfer},\n  title   = {A reachability method for verifying dynamical systems with deep neural network controllers},\n  journal = arxiv,\n  year    = {2019},\n  number  = {1903.00520},\n  url     = {https://arxiv.org/abs/1903.00520},\n}\n\n
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\n \n\n \n \n \n \n \n \n Algorithms for verifying deep neural networks.\n \n \n \n \n\n\n \n Liu, C.; Arnon, T.; Lazarus, C.; Barrett, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv, (1903.06758). 2019.\n \n\n\n\n
\n\n\n\n \n \n \"AlgorithmsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Liu2019,\n  author  = {Changliu Liu and Tomer Arnon and Christopher Lazarus and Clark Barrett and Mykel J. Kochenderfer},\n  title   = {Algorithms for verifying deep neural networks},\n  journal = arxiv,\n  year    = {2019},\n  number  = {1903.06758},\n  url     = {https://arxiv.org/abs/1903.06758},\n}\n\n
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\n \n\n \n \n \n \n \n Guaranteeing safety for neural network-based aircraft collision avoidance systems.\n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2019. \n \n\n\n\n
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@InProceedings{Julian2019dasc,\n  author    = {Kyle D. Julian and Mykel J. Kochenderfer},\n  title     = {Guaranteeing safety for neural network-based aircraft collision avoidance systems},\n  booktitle = dasc,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Learning terminal airspace traffic models from flight tracks and procedures.\n \n \n \n\n\n \n Jung, S.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2019. \n \n\n\n\n
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@InProceedings{Jung2019,\n  author    = {Soyeon Jung and Mykel J. Kochenderfer},\n  title     = {Learning terminal airspace traffic models from flight tracks and procedures},\n  booktitle = dasc,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Learning an urban air mobility encounter model from expert preferences.\n \n \n \n\n\n \n Katz, S. M.; LeBihan, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2019. \n \n\n\n\n
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@InProceedings{Katz2019,\n  author    = {Sydney M. Katz and Anne-Claire LeBihan and Mykel J. Kochenderfer},\n  title     = {Learning an urban air mobility encounter model from expert preferences},\n  booktitle = dasc,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Critical situation clusters for accelerated automotive safety validation.\n \n \n \n\n\n \n Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2019. \n \n\n\n\n
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@InProceedings{Wheeler2019,\n  author    = {Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Critical situation clusters for accelerated automotive safety validation},\n  booktitle = iv,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Pedestrian collision avoidance system for scenarios with occlusions.\n \n \n \n\n\n \n Schratter, M.; Bouton, M.; Kochenderfer, M. J.; and Watzenig, D.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Schratter2019,\n  author    = {Markus Schratter and Maxime Bouton and Mykel J. Kochenderfer and Daniel Watzenig},\n  title     = {Pedestrian collision avoidance system for scenarios with occlusions},\n  booktitle = iv,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Safe reinforcement learning with scene decomposition for navigating complex urban environments.\n \n \n \n\n\n \n Bouton, M.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2019iv,\n  author    = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title     = {Safe reinforcement learning with scene decomposition for navigating complex urban environments},\n  booktitle = iv,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Optimizing collision avoidance in dense airspace using deep reinforcement learning.\n \n \n \n\n\n \n Li, S.; Egorov, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Air Traffic Management Research and Development Seminar, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Li2019,\n  author    = {Sheng Li and Maxime Egorov and Mykel J. Kochenderfer},\n  title     = {Optimizing collision avoidance in dense airspace using deep reinforcement learning},\n  booktitle = atm,\n  year      = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Unifying system health management and automated decision making.\n \n \n \n\n\n \n Balaban, E.; Johnson, S. B.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Artificial Intelligence Research. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Balaban2019jair,\n  author  = {Edward Balaban and Stephen B. Johnson and Mykel J. Kochenderfer},\n  title   = {Unifying system health management and automated decision making},\n  journal = jair,\n  year    = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n OVERT: Verification of nonlinear dynamical systems with neural network controllers via overapproximation.\n \n \n \n \n\n\n \n Sidrane, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Workshop on Safe Machine Learning, iclr, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"OVERT:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Sidrane2019iclr,\n  author    = {Chelsea Sidrane and Mykel J. Kochenderfer},\n  title     = {{OVERT}: {V}erification of nonlinear dynamical systems with neural network controllers via overapproximation},\n  booktitle = {Workshop on Safe Machine Learning, } # iclr,\n  year      = {2019},\n  url       = {https://drive.google.com/uc?export=download&id=17dj7HXXzjGymoh1VUm4sfb7ynQ_R0Xem},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n STT-CBS: A conflict-based search algorithm for multi-agent path finding with stochastic travel times.\n \n \n \n \n\n\n \n Peltzer, O.; Brown, K.; Schwager, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Workshop on Multi-Agent Path Finding, International Joint Conference on Artificial Intelligence (IJCAI), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"STT-CBS:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Peltzer2019,\n\tauthor = {Oriana Peltzer and Kyle Brown and Mac Schwager and Mykel J. Kochenderfer},\n\tbooktitle = {Workshop on Multi-Agent Path Finding, } # ijcai,\n\tdate-added = {2024-05-27 12:20:23 -0700},\n\tdate-modified = {2024-05-27 12:20:23 -0700},\n\ttitle = {{STT}-{CBS}: {A} conflict-based search algorithm for multi-agent path finding with stochastic travel times},\n\turl = {https://arxiv.org/abs/2004.08025},\n\tyear = {2019}\n}\n\n\n
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\n  \n 2018\n \n \n (65)\n \n \n
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\n \n\n \n \n \n \n \n Verifying Robustness of Human-Aware Autonomous Cars.\n \n \n \n\n\n \n Sadigh, D.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 2nd IFAC, Conference on Cyber-Physical and Human Systems, December 2018. \n \n\n\n\n
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@inproceedings{sadigh2018verifying,\n author = {Sadigh, Dorsa and Sastry, S. Sankar and Seshia, Sanjit A.},\n title = {Verifying Robustness of Human-Aware Autonomous Cars},\n booktitle = {Proceedings of the 2nd {IFAC},\n Conference on Cyber-Physical and Human Systems},\n year = {2018},\n month = {December}\n}\n\n
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\n \n\n \n \n \n \n \n Altruistic Autonomy: Beating Congestion on Shared Roads.\n \n \n \n\n\n \n Biyik, E.; Lazar, D. A; Pedarsani, R.; and Sadigh, D.\n\n\n \n\n\n\n In Workshop on Algorithmic Foundations of Robotics (WAFR), December 2018. \n \n\n\n\n
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@inproceedings{biyik2018altruistic,\n title={Altruistic Autonomy: Beating Congestion on Shared Roads},\n author={Biyik, Erdem and Lazar, Daniel A and Pedarsani, Ramtin and Sadigh, Dorsa},\n booktitle={Workshop on Algorithmic Foundations of Robotics (WAFR)},\n year={2018},\n month={December}\n}\n
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\n \n\n \n \n \n \n \n \n Toward Scalable Verification for Safety-Critical Deep Networks.\n \n \n \n \n\n\n \n Kuper, L.; Katz, G.; Gottschlich, J.; Julian, K.; Barrett, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n CoRR, abs/1801.05950. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-1801-05950,\n  author    = {Lindsey Kuper and\n               Guy Katz and\n               Justin Gottschlich and\n               Kyle Julian and\n               Clark Barrett and\n               Mykel J. Kochenderfer},\n  title     = {Toward Scalable Verification for Safety-Critical Deep Networks},\n  journal   = {CoRR},\n  volume    = {abs/1801.05950},\n  year      = {2018},\n  url       = {http://arxiv.org/abs/1801.05950},\n  archivePrefix = {arXiv},\n  eprint    = {1801.05950},\n  timestamp = {Fri, 02 Feb 2018 14:20:25 +0100},\n  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1801-05950},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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\n \n\n \n \n \n \n \n People as sensors: Imputing maps from human actions.\n \n \n \n\n\n \n Afolabi, O.; Driggs-Campbell, K. R.; Dong, R.; Kochenderfer, M. J.; and Sastry, S.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Afolabi2018,\n  author    = {Oladapo Afolabi and Katherine Rose Driggs-Campbell and Roy Dong and Mykel J. Kochenderfer and Shankar Sastry},\n  title     = {People as sensors: {I}mputing maps from human actions},\n  booktitle = iros,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-agent imitation learning for driving simulation.\n \n \n \n\n\n \n Bhattacharyya, R.; Phillips, D. P.; Wulfe, B.; Morton, J.; Kuefler, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bhattacharyya2018,\n  author    = {Raunak Bhattacharyya and Derek P. Phillips and Blake Wulfe and Jeremy Morton and Alex Kuefler and Mykel J. Kochenderfer},\n  title     = {Multi-agent imitation learning for driving simulation},\n  booktitle = iros,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Utility decomposition with deep corrections for scalable planning under uncertainty.\n \n \n \n\n\n \n Bouton, M.; Julian, K.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
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@InProceedings{Bouton2018aamas,\n  author    = {Maxime Bouton and Kyle Julian and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title     = {Utility decomposition with deep corrections for scalable planning under uncertainty},\n  booktitle = aamas,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Reinforcement learning with probabilistic guarantees for autonomous driving.\n \n \n \n \n\n\n \n Bouton, M.; Karlsson, J.; Nakhaei, A.; Fujimura, K.; Kochenderfer, M. J.; and Tumova, J.\n\n\n \n\n\n\n In Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Aritifical Intelligence (UAI), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"ReinforcementPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2018uai,\n  author =    {Maxime Bouton and Jesper Karlsson and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer and Jana Tumova},\n  title =     {Reinforcement learning with probabilistic guarantees for autonomous driving},\n  booktitle = {Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Aritifical Intelligence (UAI)},\n  year =      {2018},\n  url =       {https://drive.google.com/open?id=1d2tl4f6GQgH1SERveTmPAR42bMVwHZAZ}\n}\n\n
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\n \n\n \n \n \n \n \n Scalable decision making with sensor occlusions for autonomous driving.\n \n \n \n\n\n \n Bouton, M.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2018. \n \n\n\n\n
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@InProceedings{Bouton2018,\n  author    = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title     = {Scalable decision making with sensor occlusions for autonomous driving},\n  booktitle = icra,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptive stress testing for autonomous vehicles.\n \n \n \n\n\n \n Koren, M.; Alsaif, S.; Lee, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Koren2018,\n  author    = {Mark Koren and Saud Alsaif and Ritchie Lee and Mykel J. Kochenderfer},\n  title     = {Adaptive stress testing for autonomous vehicles},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Burn-in demonstrations for multi-modal imitation learning.\n \n \n \n\n\n \n Kuefler, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
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@InProceedings{Kuefler2018,\n  author    = {Alex Kuefler and Mykel J. Kochenderfer},\n  title     = {Burn-in demonstrations for multi-modal imitation learning},\n  booktitle = aamas,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Interpretable categorization of heterogeneous time series data.\n \n \n \n\n\n \n Lee, R.; Kochenderfer, M. J.; Mengshoel, O. J.; and Silbermann, J.\n\n\n \n\n\n\n In SIAM International Conference on Data Mining, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Lee2018siam,\n  author    = {Ritchie Lee and Mykel J. Kochenderfer and Ole J. Mengshoel and Joshua Silbermann},\n  title     = {Interpretable categorization of heterogeneous time series data},\n  booktitle = {SIAM International Conference on Data Mining},\n  year      = {2018},\n  doi       = {10.1137/1.9781611975321.25},\n}\n\n
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\n \n\n \n \n \n \n \n Differential adaptive stress testing of airborne collision avoidance systems.\n \n \n \n\n\n \n Lee, R.; Mengshoel, O. J.; Saksena, A.; Gardner, R.; Genin, D.; Brush, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2018. \n \n\n\n\n
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@InProceedings{Lee2018,\n  author    = {Ritchie Lee and Ole J. Mengshoel and Anshu Saksena and Ryan Gardner and Daniel Genin and Jeffrey Brush and Mykel J. Kochenderfer},\n  title     = {Differential adaptive stress testing of airborne collision avoidance systems},\n  booktitle = aiaa_mands,\n  year      = {2018},\n  doi       = {10.2514/6.2018-1923},\n}\n\n
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\n \n\n \n \n \n \n \n Analytically modeling unmanaged intersections with microscopic vehicle interactions.\n \n \n \n\n\n \n Liu, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018. \n \n\n\n\n
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@InProceedings{Liu2018,\n  author    = {Changliu Liu and Mykel J. Kochenderfer},\n  title     = {Analytically modeling unmanaged intersections with microscopic vehicle interactions},\n  booktitle = itsc,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Improved robustness, safety, and efficiency with adversarial reinforcement learning.\n \n \n \n\n\n \n Ma, X.; Driggs-Campbell, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Ma2018,\n  author    = {Xiaobai Ma and Katherine Driggs-Campbell and Mykel J. Kochenderfer},\n  title     = {Improved robustness, safety, and efficiency with adversarial reinforcement learning},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Closed-loop policies for operational tests of safety-critical systems.\n \n \n \n\n\n \n Morton, J.; Wheeler, T.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems. 2018.\n \n\n\n\n
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@Article{Morton2018,\n  author  = {Morton, Jeremy and Wheeler, Tim and Kochenderfer, Mykel J.},\n  title   = {Closed-loop policies for operational tests of safety-critical systems},\n  journal = ieeetits,\n  year    = {2018},\n  doi     = {10.1109/TIV.2018.2843128},\n}\n\n
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\n \n\n \n \n \n \n \n Closed-loop planning for disaster evacuation with stochastic arrivals.\n \n \n \n\n\n \n Sidrane, C. R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018. \n \n\n\n\n
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@InProceedings{Sidrane2018,\n  author    = {Chelsea Rose Sidrane and Mykel J. Kochenderfer},\n  title     = {Closed-loop planning for disaster evacuation with stochastic arrivals},\n  booktitle = itsc,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Exploiting hierarchy for scalable decision making in autonomous driving.\n \n \n \n\n\n \n Sonu, E.; Sunberg, Z.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Sonu2018,\n  author    = {Ekhlas Sonu and Zachary Sunberg and Mykel J. Kochenderfer},\n  title     = {Exploiting hierarchy for scalable decision making in autonomous driving},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Value sensitive design for autonomous vehicle motion planning.\n \n \n \n\n\n \n Thornton, S.; Lewis, F. E.; Zhang, V.; Kochenderfer, M. J.; and Gerdes, J. C.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Thornton2018,\n  author    = {Sarah Thornton and Francis E. Lewis and Vivian Zhang and Mykel J. Kochenderfer and J. Christian Gerdes},\n  title     = {Value sensitive design for autonomous vehicle motion planning},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Horizontal maneuver coordination for aircraft collision-avoidance systems.\n \n \n \n\n\n \n Tompa, R. E.; Wulfe, B.; Kochenderfer, M. J.; and Owen, M. P.\n\n\n \n\n\n\n Journal of Aerospace Information Systems, 15(2): 92-106. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Tompa2018,\n  author  = {Rachael E. Tompa and Blake Wulfe and Mykel J. Kochenderfer and Michael P. Owen},\n  title   = {Horizontal maneuver coordination for aircraft collision-avoidance systems},\n  journal = jais,\n  year    = {2018},\n  volume  = {15},\n  number  = {2},\n  pages   = {92-106},\n  doi     = {10.2514/1.I010576},\n}\n\n
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\n \n\n \n \n \n \n \n \n Automotive safety validation in simulation.\n \n \n \n \n\n\n \n Wheeler, T. A.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2018.\n \n\n\n\n
\n\n\n\n \n \n \"AutomotivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Wheeler2018thesis,\n  author = {Wheeler, Tim Allen},\n  title  = {Automotive safety validation in simulation},\n  school = {Stanford University},\n  year   = {2018},\n  url    = {http://purl.stanford.edu/rf540sb8375},\n}\n\n
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\n \n\n \n \n \n \n \n Real-time prediction of intermediate-horizon automotive collision risk.\n \n \n \n\n\n \n Wulfe, B.; Kochenderfer, M. J.; Chintakindi, S.; Choi, S. C.; Hartong-Redden, R.; and Kodali, A.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
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@InProceedings{Wulfe2018aamas,\n  author    = {Blake Wulfe and Mykel J. Kochenderfer and Sunil Chintakindi and Sou Cheng Choi and Rory Hartong-Redden and Anuradha Kodali},\n  title     = {Real-time prediction of intermediate-horizon automotive collision risk},\n  booktitle = aamas,\n  year      = {2018},\n}\n\n\n
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\n \n\n \n \n \n \n \n People as sensors: Imputing maps from human actions.\n \n \n \n\n\n \n Afolabi, O.; Driggs-Campbell, K. R.; Dong, R.; Kochenderfer, M. J.; and Sastry, S.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. \n \n\n\n\n
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@InProceedings{Afolabi2018,\n  author    = {Oladapo Afolabi and Katherine Rose Driggs-Campbell and Roy Dong and Mykel J. Kochenderfer and Shankar Sastry},\n  title     = {People as sensors: {I}mputing maps from human actions},\n  booktitle = iros,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-agent imitation learning for driving simulation.\n \n \n \n\n\n \n Bhattacharyya, R.; Phillips, D. P.; Wulfe, B.; Morton, J.; Kuefler, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. \n \n\n\n\n
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@InProceedings{Bhattacharyya2018,\n  author    = {Raunak Bhattacharyya and Derek P. Phillips and Blake Wulfe and Jeremy Morton and Alex Kuefler and Mykel J. Kochenderfer},\n  title     = {Multi-agent imitation learning for driving simulation},\n  booktitle = iros,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Utility decomposition with deep corrections for scalable planning under uncertainty.\n \n \n \n\n\n \n Bouton, M.; Julian, K.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
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@InProceedings{Bouton2018aamas,\n  author    = {Maxime Bouton and Kyle Julian and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title     = {Utility decomposition with deep corrections for scalable planning under uncertainty},\n  booktitle = aamas,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Reinforcement learning with probabilistic guarantees for autonomous driving.\n \n \n \n \n\n\n \n Bouton, M.; Karlsson, J.; Nakhaei, A.; Fujimura, K.; Kochenderfer, M. J.; and Tumova, J.\n\n\n \n\n\n\n In Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Aritifical Intelligence (UAI), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"ReinforcementPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2018uai,\n  author =    {Maxime Bouton and Jesper Karlsson and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer and Jana Tumova},\n  title =     {Reinforcement learning with probabilistic guarantees for autonomous driving},\n  booktitle = {Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Aritifical Intelligence (UAI)},\n  year =      {2018},\n  url =       {https://drive.google.com/open?id=1d2tl4f6GQgH1SERveTmPAR42bMVwHZAZ}\n}\n\n
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\n \n\n \n \n \n \n \n Scalable decision making with sensor occlusions for autonomous driving.\n \n \n \n\n\n \n Bouton, M.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2018. \n \n\n\n\n
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@InProceedings{Bouton2018,\n  author    = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title     = {Scalable decision making with sensor occlusions for autonomous driving},\n  booktitle = icra,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptive stress testing for autonomous vehicles.\n \n \n \n\n\n \n Koren, M.; Alsaif, S.; Lee, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Koren2018,\n  author    = {Mark Koren and Saud Alsaif and Ritchie Lee and Mykel J. Kochenderfer},\n  title     = {Adaptive stress testing for autonomous vehicles},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Burn-in demonstrations for multi-modal imitation learning.\n \n \n \n\n\n \n Kuefler, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
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@InProceedings{Kuefler2018,\n  author    = {Alex Kuefler and Mykel J. Kochenderfer},\n  title     = {Burn-in demonstrations for multi-modal imitation learning},\n  booktitle = aamas,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Interpretable categorization of heterogeneous time series data.\n \n \n \n\n\n \n Lee, R.; Kochenderfer, M. J.; Mengshoel, O. J.; and Silbermann, J.\n\n\n \n\n\n\n In SIAM International Conference on Data Mining, 2018. \n \n\n\n\n
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@InProceedings{Lee2018siam,\n  author    = {Ritchie Lee and Mykel J. Kochenderfer and Ole J. Mengshoel and Joshua Silbermann},\n  title     = {Interpretable categorization of heterogeneous time series data},\n  booktitle = {SIAM International Conference on Data Mining},\n  year      = {2018},\n  doi       = {10.1137/1.9781611975321.25},\n}\n\n
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\n \n\n \n \n \n \n \n Differential adaptive stress testing of airborne collision avoidance systems.\n \n \n \n\n\n \n Lee, R.; Mengshoel, O. J.; Saksena, A.; Gardner, R.; Genin, D.; Brush, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2018. \n \n\n\n\n
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@InProceedings{Lee2018,\n  author    = {Ritchie Lee and Ole J. Mengshoel and Anshu Saksena and Ryan Gardner and Daniel Genin and Jeffrey Brush and Mykel J. Kochenderfer},\n  title     = {Differential adaptive stress testing of airborne collision avoidance systems},\n  booktitle = aiaa_mands,\n  year      = {2018},\n  doi       = {10.2514/6.2018-1923},\n}\n\n
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\n \n\n \n \n \n \n \n Analytically modeling unmanaged intersections with microscopic vehicle interactions.\n \n \n \n\n\n \n Liu, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018. \n \n\n\n\n
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@InProceedings{Liu2018,\n  author    = {Changliu Liu and Mykel J. Kochenderfer},\n  title     = {Analytically modeling unmanaged intersections with microscopic vehicle interactions},\n  booktitle = itsc,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Improved robustness, safety, and efficiency with adversarial reinforcement learning.\n \n \n \n\n\n \n Ma, X.; Driggs-Campbell, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Ma2018,\n  author    = {Xiaobai Ma and Katherine Driggs-Campbell and Mykel J. Kochenderfer},\n  title     = {Improved robustness, safety, and efficiency with adversarial reinforcement learning},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Closed-loop policies for operational tests of safety-critical systems.\n \n \n \n\n\n \n Morton, J.; Wheeler, T.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems. 2018.\n \n\n\n\n
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@Article{Morton2018,\n  author  = {Morton, Jeremy and Wheeler, Tim and Kochenderfer, Mykel J.},\n  title   = {Closed-loop policies for operational tests of safety-critical systems},\n  journal = ieeetits,\n  year    = {2018},\n  doi     = {10.1109/TIV.2018.2843128},\n}\n\n
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\n \n\n \n \n \n \n \n Closed-loop planning for disaster evacuation with stochastic arrivals.\n \n \n \n\n\n \n Sidrane, C. R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Sidrane2018,\n  author    = {Chelsea Rose Sidrane and Mykel J. Kochenderfer},\n  title     = {Closed-loop planning for disaster evacuation with stochastic arrivals},\n  booktitle = itsc,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Exploiting hierarchy for scalable decision making in autonomous driving.\n \n \n \n\n\n \n Sonu, E.; Sunberg, Z.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Sonu2018,\n  author    = {Ekhlas Sonu and Zachary Sunberg and Mykel J. Kochenderfer},\n  title     = {Exploiting hierarchy for scalable decision making in autonomous driving},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Value sensitive design for autonomous vehicle motion planning.\n \n \n \n\n\n \n Thornton, S.; Lewis, F. E.; Zhang, V.; Kochenderfer, M. J.; and Gerdes, J. C.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
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@InProceedings{Thornton2018,\n  author    = {Sarah Thornton and Francis E. Lewis and Vivian Zhang and Mykel J. Kochenderfer and J. Christian Gerdes},\n  title     = {Value sensitive design for autonomous vehicle motion planning},\n  booktitle = iv,\n  year      = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Horizontal maneuver coordination for aircraft collision-avoidance systems.\n \n \n \n\n\n \n Tompa, R. E.; Wulfe, B.; Kochenderfer, M. J.; and Owen, M. P.\n\n\n \n\n\n\n Journal of Aerospace Information Systems, 15(2): 92-106. 2018.\n \n\n\n\n
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@Article{Tompa2018,\n  author  = {Rachael E. Tompa and Blake Wulfe and Mykel J. Kochenderfer and Michael P. Owen},\n  title   = {Horizontal maneuver coordination for aircraft collision-avoidance systems},\n  journal = jais,\n  year    = {2018},\n  volume  = {15},\n  number  = {2},\n  pages   = {92-106},\n  doi     = {10.2514/1.I010576},\n}\n\n
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\n \n\n \n \n \n \n \n \n Automotive safety validation in simulation.\n \n \n \n \n\n\n \n Wheeler, T. A.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2018.\n \n\n\n\n
\n\n\n\n \n \n \"AutomotivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Wheeler2018thesis,\n  author = {Wheeler, Tim Allen},\n  title  = {Automotive safety validation in simulation},\n  school = {Stanford University},\n  year   = {2018},\n  url    = {http://purl.stanford.edu/rf540sb8375},\n}\n\n
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\n \n\n \n \n \n \n \n Real-time prediction of intermediate-horizon automotive collision risk.\n \n \n \n\n\n \n Wulfe, B.; Kochenderfer, M. J.; Chintakindi, S.; Choi, S. C.; Hartong-Redden, R.; and Kodali, A.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Wulfe2018aamas,\n  author    = {Blake Wulfe and Mykel J. Kochenderfer and Sunil Chintakindi and Sou Cheng Choi and Rory Hartong-Redden and Anuradha Kodali},\n  title     = {Real-time prediction of intermediate-horizon automotive collision risk},\n  booktitle = aamas,\n  year      = {2018},\n}\n\n\n
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\n \n\n \n \n \n \n \n Safe Autonomy Under Perception Uncertainty Using Chance-Constrained Temporal Logic.\n \n \n \n\n\n \n Jha, S.; Raman, V.; Sadigh, D.; and Seshia, S. A.\n\n\n \n\n\n\n Journal of Automated Reasoning (JAR), 60(1): 43–62. January 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{jha2018safe,\n  title = {Safe Autonomy Under Perception Uncertainty Using Chance-Constrained Temporal Logic},\n  author = {Jha, Susmit and Raman, Vasumathi and Sadigh, Dorsa and Seshia, Sanjit A.},\n  journal = {Journal of Automated Reasoning ({JAR})},\n  year = {2018},\n  month = jan,\n  volume = {60},\n  number = {1},\n  pages = {43--62},\n  issn = {1573-0670},\n  doi = {10.1007/s10817-017-9413-9}\n}\n\n
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\n \n\n \n \n \n \n \n Multi-Agent Generative Adversarial Imitation Learning.\n \n \n \n\n\n \n Song, J.; Ren, H.; Sadigh, D.; and Ermon, S.\n\n\n \n\n\n\n Technical Report International Conference on Learning Representations (ICLR), Workshop Track, April 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{song2018multiagent,\n  title = {Multi-Agent Generative Adversarial Imitation Learning},\n  author = {Song, Jiaming and Ren, Hongyu, and Sadigh, Dorsa and Ermon, Stefano},\n  institution = {International Conference on Learning Representations ({ICLR}), Workshop Track},\n  year = {2018},\n  month = apr\n}\n\n
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\n \n\n \n \n \n \n \n Planning for Cars that Coordinate with People: Leveraging Effects on Human Actions for Planning and Active Information Gathering over Human Internal State.\n \n \n \n\n\n \n Sadigh, D.; Landolfi, N.; Sastry, S. S.; Seshia, S. A.; and Dragan, A. D.\n\n\n \n\n\n\n Autonomous Robots (AURO), 42(7): 1405–1426. October 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{sadigh2018planning,\n  title = {Planning for Cars that Coordinate with People: Leveraging Effects on Human Actions for Planning and Active Information Gathering over Human Internal State},\n  author = {Sadigh, Dorsa and Landolfi, Nick and Sastry, S. Shankar and Seshia, Sanjit A. and Dragan, Anca D.},\n  journal = {Autonomous Robots ({AURO})},\n  year = {2018},\n  month = oct,\n  volume = {42},\n  number = {7},\n  pages = {1405--1426},\n  issn = {1573-7527},\n  doi = {10.1007/s10514-018-9746-1}\n}\n\n
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\n \n\n \n \n \n \n \n Maximizing Road Capacity Using Cars that Influence People.\n \n \n \n\n\n \n Lazar, D. A.; Chandrasekher, K.; Pedarsani, R.; and Sadigh, D.\n\n\n \n\n\n\n In Proceedings of the 57th IEEE Conference on Decision and Control (CDC), December 2018. IEEE\n \n\n\n\n
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@inproceedings{lazar2018maximizing,\n  title = {Maximizing Road Capacity Using Cars that Influence People},\n  author = {Lazar, Daniel A. and Chandrasekher, Kabir and Pedarsani, Ramtin and Sadigh, Dorsa},\n  booktitle = {Proceedings of the 57th {IEEE} Conference on Decision and Control ({CDC})},\n  year = {2018},\n  month = dec,\n  publisher = {IEEE},\n  xarxiv = {1807.04414}\n}\n\n\n
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\n \n\n \n \n \n \n \n Verifying Robustness of Human-Aware Autonomous Cars.\n \n \n \n\n\n \n Sadigh, D.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Submitted to the 2nd IFAC Conference on Cyber-Physical and Human Systems, December 2018. \n \n\n\n\n
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@inproceedings{sadigh2018verifying,\n  title = {Verifying Robustness of Human-Aware Autonomous Cars},\n  author = {Sadigh, Dorsa and Sastry, S. Sankar and Seshia, Sanjit A.},\n  booktitle = {Submitted to the 2nd {IFAC} Conference on Cyber-Physical and Human Systems},\n  year = {2018},\n  month = dec,\n  xsortkey = {B1}\n}\n\n
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\n \n\n \n \n \n \n \n Multi-Agent Generative Adversarial Imitation Learning.\n \n \n \n\n\n \n Song, J.; Ren, H.; Sadigh, D.; and Ermon, S.\n\n\n \n\n\n\n In Submitted to Conference on Neural Information Processing Systems (NIPS), December 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{song2018multi,\n  title = {Multi-Agent Generative Adversarial Imitation Learning},\n  author = {Song, Jiaming and Ren, Hongyu and Sadigh, Dorsa and Ermon, Stefano},\n  booktitle = {Submitted to Conference on Neural Information Processing Systems ({NIPS})},\n  year= {2018},\n  month = dec,\n  xarxiv = {1807.09936},\n  xsortkey = {B2}\n}\n\n
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\n \n\n \n \n \n \n \n Altruistic Autonomy: Beating Congestion on Shared Roads.\n \n \n \n\n\n \n Bıyık, E.; Lazar, D. A.; Pedarsani, R.; and Sadigh, D.\n\n\n \n\n\n\n In Submitted to the 13th International Workshop on Algorithmic Foundations of Robotics (WAFR), December 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{biyik2018altruistic,\n  title = {Altruistic Autonomy: Beating Congestion on Shared Roads},\n  author = {Bıyık, Erdem and Lazar, Daniel A. and Pedarsani, Ramtin and Sadigh, Dorsa},\n  booktitle = {Submitted to the 13th International Workshop on Algorithmic Foundations of Robotics ({WAFR})},\n  year = {2018},\n  month = dec,\n  xsortkey = {B3}\n}\n\n
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\n \n\n \n \n \n \n \n Batch Active Preference-Based Learning of Reward Functions.\n \n \n \n\n\n \n Bıyık, E.; and Sadigh, D.\n\n\n \n\n\n\n In Submitted to Conference on Robot Learning (CoRL), October 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{biyik2018batch,\n  title = {Batch Active Preference-Based Learning of Reward Functions},\n  author = {Bıyık, Erdem and Sadigh, Dorsa},\n  booktitle = {Submitted to Conference on Robot Learning ({CoRL})},\n  year = {2018},\n  month = oct,\n  xsortkey = {B4}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Rethinking system health management.\n \n \n \n \n\n\n \n Balaban, E.; Johnson, S. B.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AAAI Fall Symposium on Integrating Planning, Diagnosis, and Causal Reasoning, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"RethinkingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Balaban2018,\n  author    = {Edward Balaban and Stephen B. Johnson and Mykel J. Kochenderfer},\n  title     = {Rethinking system health management},\n  booktitle = {AAAI Fall Symposium on Integrating Planning, Diagnosis, and Causal Reasoning},\n  year      = {2018},\n  url       = {https://arxiv.org/abs/1903.03948},\n}\n\n
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\n \n\n \n \n \n \n \n \n Utility decomposition for planning under uncertainty for autonomous driving.\n \n \n \n \n\n\n \n Bouton, M.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"UtilityPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2018dc,\n  author    = {Maxime Bouton},\n  title     = {Utility decomposition for planning under uncertainty for autonomous driving},\n  booktitle = aamas,\n  year      = {2018},\n  url       = {http://ifaamas.org/Proceedings/aamas2018/pdfs/p1731.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n Utility decomposition with deep corrections for scalable planning under uncertainty.\n \n \n \n \n\n\n \n Bouton, M.; Julian, K. D.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"UtilityPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2018aamas,\n  author =    {Maxime Bouton and Kyle D. Julian and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title =     {Utility decomposition with deep corrections for scalable planning under uncertainty},\n  booktitle = aamas,\n  year =      {2018},\n  url =       {https://arxiv.org/abs/1802.01772}\n}\n\n
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\n \n\n \n \n \n \n \n \n Reinforcement learning with probabilistic guarantees for autonomous driving.\n \n \n \n \n\n\n \n Bouton, M.; Karlsson, J.; Nakhaei, A.; Fujimura, K.; Kochenderfer, M. J.; and Tumova, J.\n\n\n \n\n\n\n In Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Artificial Intelligence (UAI), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"ReinforcementPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2018uai,\n  author    = {Maxime Bouton and Jesper Karlsson and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer and Jana Tumova},\n  title     = {Reinforcement learning with probabilistic guarantees for autonomous driving},\n  booktitle = {Workshop on Safety Risk and Uncertainty in Reinforcement Learning, } # uai,\n  year      = {2018},\n  url       = {https://drive.google.com/open?id=1d2tl4f6GQgH1SERveTmPAR42bMVwHZAZ},\n}\n\n
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\n \n\n \n \n \n \n \n Scalable decision making with sensor occlusions for autonomous driving.\n \n \n \n\n\n \n Bouton, M.; Nakhaei, A.; Fujimura, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2018,\n  author    = {Maxime Bouton and Alireza Nakhaei and Kikuo Fujimura and Mykel J. Kochenderfer},\n  title     = {Scalable decision making with sensor occlusions for autonomous driving},\n  booktitle = icra,\n  year      = {2018},\n  doi       = {10.1109/ICRA.2018.8460914},\n}\n\n\n
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\n \n\n \n \n \n \n \n Autonomous distributed wildfire surveillance using deep reinforcement learning.\n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Julian2018,\n  author    = {Kyle D. Julian and Mykel J. Kochenderfer},\n  title     = {Autonomous distributed wildfire surveillance using deep reinforcement learning},\n  booktitle = gnc,\n  year      = {2018},\n  doi       = {10.2514/6.2018-1589},\n}\n\n
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\n \n\n \n \n \n \n \n \n Image-based guidance of autonomous aircraft for wildfire surveillance and prediction.\n \n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv, (1810.02455). 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Image-basedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Julian2018image,\n  author  = {Kyle D. Julian and Mykel J. Kochenderfer},\n  title   = {Image-based guidance of autonomous aircraft for wildfire surveillance and prediction},\n  journal = arxiv,\n  year    = {2018},\n  number  = {1810.02455},\n  url     = {https://arxiv.org/abs/1810.02455},\n}\n\n
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\n \n\n \n \n \n \n \n \n Safe interactive imitation learning from humans.\n \n \n \n \n\n\n \n Kelly, M.; Sidrane, C. R.; Driggs-Campbell, K. R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Imitation Learning and its Challenges in Robotics Workshop, neurips, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"SafePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kelly2018,\n  author    = {Michael Kelly and Chelsea R. Sidrane and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},\n  title     = {Safe interactive imitation learning from humans},\n  booktitle = {Imitation Learning and its Challenges in Robotics Workshop, } # neurips,\n  year      = {2018},\n  url       = {https://drive.google.com/open?id=18rJr7eXPa9rEvapyrQOfjgyQtSlMd03y},\n}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive stress testing for autonomous vehicles.\n \n \n \n \n\n\n \n Koren, M.; Alsaif, S.; Lee, R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"AdaptivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Koren2018,\n  author    = {Mark Koren and Saud Alsaif and Ritchie Lee and Mykel J. Kochenderfer},\n  title     = {Adaptive stress testing for autonomous vehicles},\n  booktitle = iv,\n  year      = {2018},\n  doi       = {10.1109/IVS.2018.8500400},\n  url       = {https://arxiv.org/abs/1902.01909},\n}\n\n
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\n \n\n \n \n \n \n \n \n Toward scalable verification for safety-critical deep networks.\n \n \n \n \n\n\n \n Kuper, L.; Katz, G.; Gottschlich, J.; Julian, K. D.; Barrett, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In SysML, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kuper2018,\n  author    = {Lindsey Kuper and Guy Katz and Justin Gottschlich and Kyle D. Julian and Clark Barrett and Mykel J. Kochenderfer},\n  title     = {Toward scalable verification for safety-critical deep networks},\n  booktitle = {SysML},\n  year      = {2018},\n  url       = {https://arxiv.org/abs/1801.05950},\n}\n\n
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\n \n\n \n \n \n \n \n Differential adaptive stress testing of airborne collision avoidance systems.\n \n \n \n\n\n \n Lee, R.; Mengshoel, O. J.; Saksena, A.; Gardner, R.; Genin, D.; Brush, J. S.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Lee2018,\n  author    = {Ritchie Lee and Ole J. Mengshoel and Anshu Saksena and Ryan Gardner and Daniel Genin and Jeffrey S. Brush and Mykel J. Kochenderfer},\n  title     = {Differential adaptive stress testing of airborne collision avoidance systems},\n  booktitle = aiaa_mands,\n  year      = {2018},\n  doi       = {10.2514/6.2018-1923},\n}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive stress testing: finding failure events with reinforcement learning.\n \n \n \n \n\n\n \n Lee, R.; Mengshoel, O. J.; Saksena, A.; Gardner, R.; Genin, D.; Silbermann, J.; Owen, M. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n arxiv, (1811.02188). 2018.\n \n\n\n\n
\n\n\n\n \n \n \"AdaptivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Lee2018ast,\n  author  = {Ritchie Lee and Ole J. Mengshoel and Anshu Saksena and Ryan Gardner and Daniel Genin and Joshua Silbermann and Michael P. Owen and Mykel J. Kochenderfer},\n  title   = {Adaptive stress testing: finding failure events with reinforcement learning},\n  journal = arxiv,\n  year    = {2018},\n  number  = {1811.02188},\n  url     = {https://arxiv.org/abs/1811.02188},\n}\n\n
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\n \n\n \n \n \n \n \n Improved robustness, safety, and efficiency with adversarial reinforcement learning.\n \n \n \n\n\n \n Ma, X.; Driggs-Campbell, K. R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Ma2018,\n  author    = {Xiaobai Ma and Katherine R. Driggs-Campbell and Mykel J. Kochenderfer},\n  title     = {Improved robustness, safety, and efficiency with adversarial reinforcement learning},\n  booktitle = iv,\n  year      = {2018},\n  doi       = {10.1109/IVS.2018.8500450},\n}\n\n
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\n \n\n \n \n \n \n \n \n Closed-loop policies for operational tests of safety-critical systems.\n \n \n \n \n\n\n \n Morton, J.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 3(3): 317-328. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Closed-loopPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{Morton2018,\n  author =  {Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title =   {Closed-loop policies for operational tests of safety-critical systems},\n  journal = ieeetits,\n  year =    {2018},\n  volume =  {3},\n  number =  {3},\n  pages =   {317-328},\n  doi =     {10.1109/TIV.2018.2843128},\n  url =     {https://arxiv.org/abs/1707.08234}\n}\n\n
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\n \n\n \n \n \n \n \n Closed-loop planning for disaster evacuation with stochastic arrivals.\n \n \n \n\n\n \n Sidrane, C. R.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Sidrane2018,\n  author    = {Chelsea R. Sidrane and Mykel J. Kochenderfer},\n  title     = {Closed-loop planning for disaster evacuation with stochastic arrivals},\n  booktitle = itsc,\n  year      = {2018},\n  doi       = {10.1109/ITSC.2018.8569957},\n}\n\n
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\n \n\n \n \n \n \n \n \n Safety and efficiency in autonomous vehicles through planning with uncertainty.\n \n \n \n \n\n\n \n Sunberg, Z. N.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2018.\n \n\n\n\n
\n\n\n\n \n \n \"SafetyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Sunberg2018thesis,\n  author = {Zachary Nolan Sunberg},\n  title =  {Safety and efficiency in autonomous vehicles through planning with uncertainty},\n  school = {Stanford University},\n  year =   {2018},\n  url =    {https://purl.stanford.edu/cq368zc3698}\n}\n\n
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\n \n\n \n \n \n \n \n Horizontal maneuver coordination for aircraft collision-avoidance systems.\n \n \n \n\n\n \n Tompa, R. E.; Wulfe, B.; Kochenderfer, M. J.; and Owen, M. P.\n\n\n \n\n\n\n Journal of Aerospace Information Systems, 15(2): 92-106. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Tompa2018,\n  author  = {Rachael E. Tompa and Blake Wulfe and Mykel J. Kochenderfer and Michael P. Owen},\n  title   = {Horizontal maneuver coordination for aircraft collision-avoidance systems},\n  journal = jais,\n  year    = {2018},\n  volume  = {15},\n  number  = {2},\n  pages   = {92-106},\n  doi     = {10.2514/1.I010576},\n}\n\n
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\n \n\n \n \n \n \n \n \n Real-time prediction of intermediate-horizon automotive collision risk.\n \n \n \n \n\n\n \n Wulfe, B.; Kochenderfer, M. J.; Chintakindi, S.; Choi, S. C.; Hartong-Redden, R.; and Kodali, A.\n\n\n \n\n\n\n In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Real-timePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Wulfe2018aamas,\n  author =    {Blake Wulfe and Mykel J. Kochenderfer and Sunil Chintakindi and Sou Cheng Choi and Rory Hartong-Redden and Anuradha Kodali},\n  title =     {Real-time prediction of intermediate-horizon automotive collision risk},\n  booktitle = aamas,\n  year =      {2018},\n  url =       {https://arxiv.org/abs/1802.01532}\n}\n\n
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\n  \n 2017\n \n \n (39)\n \n \n
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\n \n\n \n \n \n \n \n \n Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks.\n \n \n \n \n\n\n \n Katz, G.; Barrett, C.; Dill, D. L.; Julian, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Majumdar, R.; and Kuncak, V., editor(s), Proceedings of the $29^{th}$ International Conference on Computer Aided Verification (CAV '17), volume 10426, of Lecture Notes in Computer Science, pages 97–117, July 2017. Springer\n Heidelberg, Germany\n\n\n\n
\n\n\n\n \n \n \"Reluplex:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{KBD+17,\n  url       = "http://www.cs.stanford.edu/~barrett/pubs/KBD+17.pdf",\n  author    = "Guy Katz and Clark Barrett and David L. Dill and Kyle Julian and Mykel J. Kochenderfer",\n  title     = "Reluplex: An Efficient {SMT} Solver for Verifying Deep Neural Networks",\n  booktitle = "Proceedings of the $29^{th}$ International Conference on Computer Aided Verification (CAV '17)",\n  volume    = 10426,\n  number    = 1,\n  editor    = "Rupak Majumdar and Viktor Kuncak",\n  pages     = "97--117",\n  series    = "Lecture Notes in Computer Science",\n  publisher = "Springer",\n  month     = jul,\n  year      = 2017,\n  note      = "Heidelberg, Germany",\n  category  = "Conference Publications",\n  abstract  = "\nDeep neural networks have emerged as a widely used and\neffective means for tackling complex, real-world problems. However, a\nmajor obstacle in applying them to safety-critical systems is the great\ndifficulty in providing formal guarantees about their behavior. We present\na novel, scalable, and efficient technique for verifying properties of deep\nneural networks (or providing counter-examples). The technique is based\non the simplex method, extended to handle the non-convex Rectified Linear\nUnit (ReLU ) activation function, which is a crucial ingredient in\nmany modern neural networks. The verification procedure tackles neural\nnetworks as a whole, without making any simplifying assumptions.\nWe evaluated our technique on a prototype deep neural network implementation\nof the next-generation airborne collision avoidance system for\nunmanned aircraft (ACAS Xu). Results show that our technique can\nsuccessfully prove properties of networks that are an order of magnitude\nlarger than the largest networks verified using existing methods.\n"\n}\n\n
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\n Deep neural networks have emerged as a widely used and effective means for tackling complex, real-world problems. However, a major obstacle in applying them to safety-critical systems is the great difficulty in providing formal guarantees about their behavior. We present a novel, scalable, and efficient technique for verifying properties of deep neural networks (or providing counter-examples). The technique is based on the simplex method, extended to handle the non-convex Rectified Linear Unit (ReLU ) activation function, which is a crucial ingredient in many modern neural networks. The verification procedure tackles neural networks as a whole, without making any simplifying assumptions. We evaluated our technique on a prototype deep neural network implementation of the next-generation airborne collision avoidance system for unmanned aircraft (ACAS Xu). Results show that our technique can successfully prove properties of networks that are an order of magnitude larger than the largest networks verified using existing methods. \n
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\n \n\n \n \n \n \n \n \n Towards Proving the Adversarial Robustness of Deep Neural Networks.\n \n \n \n \n\n\n \n Katz, G.; Barrett, C.; Dill, D. L.; Julian, K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Bulwahn, L.; Kamali, M.; and Linker, S., editor(s), Proceedings of the First Workshop on Formal Verification of Autonomous Vehicles (FVAV '17), volume 257, of Electronic Proceedings in Theoretical Computer Science, pages 19–26, September 2017. \n Turin, Italy\n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{KBD+17-FVAV,\n  url       = "https://arxiv.org/abs/1709.02802",\n  author    = "Guy Katz and Clark Barrett and David L. Dill and Kyle Julian and Mykel J. Kochenderfer",\n  title     = "Towards Proving the Adversarial Robustness of Deep Neural Networks",\n  booktitle = "Proceedings of the First Workshop on Formal Verification of Autonomous Vehicles (FVAV '17)",\n  series    = "Electronic Proceedings in Theoretical Computer Science",\n  volume    = 257,\n  editor    = "Lukas Bulwahn and Maryam Kamali and Sven Linker",\n  pages     = "19--26",\n  month     = sep,\n  year      = 2017,\n  note      = "Turin, Italy",\n  category  = "Refereed Workshop Publications",\n  abstract  = "\nAutonomous vehicles are highly complex systems, required to function reliably in a wide variety of situations. Manually crafting software controllers for these vehicles is difficult, but there has been some success in using deep neural networks generated using machine-learning. However, deep neural networks are opaque to human engineers, rendering their correctness very difficult to prove manually; and existing automated techniques, which were not designed to operate on neural networks, fail to scale to large systems. This paper focuses on proving the adversarial robustness of deep neural networks, i.e. proving that small perturbations to a correctly-classified input to the network cannot cause it to be misclassified. We describe some of our recent and ongoing work on verifying the adversarial robustness of networks, and discuss some of the open questions we have encountered and how they might be addressed.\n"\n}\n\n
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\n Autonomous vehicles are highly complex systems, required to function reliably in a wide variety of situations. Manually crafting software controllers for these vehicles is difficult, but there has been some success in using deep neural networks generated using machine-learning. However, deep neural networks are opaque to human engineers, rendering their correctness very difficult to prove manually; and existing automated techniques, which were not designed to operate on neural networks, fail to scale to large systems. This paper focuses on proving the adversarial robustness of deep neural networks, i.e. proving that small perturbations to a correctly-classified input to the network cannot cause it to be misclassified. We describe some of our recent and ongoing work on verifying the adversarial robustness of networks, and discuss some of the open questions we have encountered and how they might be addressed. \n
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\n \n\n \n \n \n \n \n \n Provably Minimally-Distorted Adversarial Examples.\n \n \n \n \n\n\n \n Carlini, N.; Katz, G.; Barrett, C.; and Dill, D. L.\n\n\n \n\n\n\n CoRR, abs/1709.10207. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ProvablyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{DBLP:journals/corr/abs-1709-10207,\n  author    = {Nicholas Carlini and\n               Guy Katz and\n               Clark Barrett and\n               David L. Dill},\n  title     = {Provably Minimally-Distorted Adversarial Examples},\n  journal   = {CoRR},\n  volume    = {abs/1709.10207},\n  year      = {2017},\n  url       = {http://arxiv.org/abs/1709.10207},\n  archivePrefix = {arXiv},\n  eprint    = {1709.10207},\n  timestamp = {Thu, 05 Oct 2017 09:43:02 +0200},\n  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1709-10207},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n\n
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\n \n\n \n \n \n \n \n Belief state planning for autonomously navigating urban intersections.\n \n \n \n\n\n \n Bouton, M.; Cosgun, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Bouton2017,\n  author    = {Maxime Bouton and Akansel Cosgun and Mykel J. Kochenderfer},\n  title     = {Belief state planning for autonomously navigating urban intersections},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995818},\n}\n\n
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\n \n\n \n \n \n \n \n \n POMDPs.jl: A framework for sequential decision making under uncertainty.\n \n \n \n \n\n\n \n Egorov, M.; Sunberg, Z. N.; Balaban, E.; Wheeler, T. A.; Gupta, J. K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Machine Learning Research, 18(26): 1–5. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"POMDPs.jl:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Egorov2017,\n  author  = {Maxim Egorov and Zachary N. Sunberg and Edward Balaban and Tim A. Wheeler and Jayesh K. Gupta and Mykel J. Kochenderfer},\n  title   = {{POMDPs.jl}: {A} framework for sequential decision making under uncertainty},\n  journal = jmlr,\n  year    = {2017},\n  volume  = {18},\n  number  = {26},\n  pages   = {1--5},\n  url     = {http://jmlr.org/papers/v18/16-300.html},\n}\n\n
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\n \n\n \n \n \n \n \n Heuristics for planning with rare catastrophic events.\n \n \n \n\n\n \n Kim, Y.; Gur, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Winter Simulation Conference, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kim2017,\n  author    = {Youngjun Kim and Yonatan Gur and Mykel J. Kochenderfer},\n  title     = {Heuristics for planning with rare catastrophic events},\n  booktitle = {Winter Simulation Conference},\n  year      = {2017},\n  doi       = {10.1109/WSC.2017.8248024},\n}\n\n
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\n \n\n \n \n \n \n \n \n Burn-in demonstrations for multi-modal imitation learning.\n \n \n \n \n\n\n \n Kuefler, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Conference on Robotic Learning, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Burn-inPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kuefler2017corl,\n  author    = {Alex Kuefler and Mykel J. Kochenderfer},\n  title     = {Burn-in demonstrations for multi-modal imitation learning},\n  booktitle = {Conference on Robotic Learning},\n  year      = {2017},\n  url       = {https://arxiv.org/abs/1710.05090},\n}\n\n
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\n \n\n \n \n \n \n \n Imitating driver behavior with generative adversarial networks.\n \n \n \n\n\n \n Kuefler, A.; Morton, J.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kuefler2017,\n  author    = {Alex Kuefler and Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Imitating driver behavior with generative adversarial networks},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995721},\n}\n\n\n
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\n \n\n \n \n \n \n \n Learning traffic patterns at small airports from flight tracks.\n \n \n \n\n\n \n Mahboubi, Z.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 18(4): 917-926. 2017.\n \n\n\n\n
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@Article{Mahboubi2017,\n  author  = {Zouhair Mahboubi and Mykel J. Kochenderfer},\n  title   = {Learning traffic patterns at small airports from flight tracks},\n  journal = ieeetits,\n  year    = {2017},\n  volume  = {18},\n  number  = {4},\n  pages   = {917-926},\n  doi     = {10.1109/TITS.2016.2598064},\n}\n\n
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\n \n\n \n \n \n \n \n Simultaneous policy learning and latent state inference for imitating driver behavior.\n \n \n \n\n\n \n Morton, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Morton2017itsc,\n  author    = {Jeremy Morton and Mykel J. Kochenderfer},\n  title     = {Simultaneous policy learning and latent state inference for imitating driver behavior},\n  booktitle = itsc,\n  year      = {2017},\n  doi       = {10.1109/ITSC.2017.8317738},\n}\n\n
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\n \n\n \n \n \n \n \n Analysis of recurrent neural networks for probabilistic modeling of driver behavior.\n \n \n \n\n\n \n Morton, J.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 18(5): 1289-1298. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Morton2017,\n  author  = {Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title   = {Analysis of recurrent neural networks for probabilistic modeling of driver behavior},\n  journal = ieeetits,\n  year    = {2017},\n  volume  = {18},\n  number  = {5},\n  pages   = {1289-1298},\n  doi     = {10.1109/TITS.2016.2603007},\n}\n\n
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\n \n\n \n \n \n \n \n Markov decision process-based distributed conflict resolution for drone air traffic management.\n \n \n \n\n\n \n Ong, H. Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 40(1): 69-80. 2017.\n \n\n\n\n
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@Article{Ong2017,\n  author  = {Hao Yi Ong and Mykel J. Kochenderfer},\n  title   = {Markov decision process-based distributed conflict resolution for drone air traffic management},\n  journal = jgcd,\n  year    = {2017},\n  volume  = {40},\n  number  = {1},\n  pages   = {69-80},\n  doi     = {10.2514/1.G001822},\n}\n\n
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\n \n\n \n \n \n \n \n Generalizable intention prediction of human drivers at intersections.\n \n \n \n\n\n \n Phillips, D.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Phillips2017,\n  author    = {Derek Phillips and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Generalizable intention prediction of human drivers at intersections},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995948},\n}\n\n
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\n \n\n \n \n \n \n \n The value of inferring the internal state of traffic participants for autonomous freeway driving.\n \n \n \n\n\n \n Sunberg, Z. N.; Ho, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In American Control Conference (ACC), 2017. \n \n\n\n\n
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@InProceedings{Sunberg2017,\n  author    = {Zachary N. Sunberg and Christopher Ho and Mykel J. Kochenderfer},\n  title     = {The value of inferring the internal state of traffic participants for autonomous freeway driving},\n  booktitle = acc,\n  year      = {2017},\n  doi       = {10.23919/ACC.2017.7963408},\n}\n\n
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\n \n\n \n \n \n \n \n Deep stochastic radar models.\n \n \n \n\n\n \n Wheeler, T. A.; Holder, M. F.; Winner, H.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Wheeler2017,\n  author    = {Tim A. Wheeler and Martin Friedrich Holder and Hermann Winner and Mykel J. Kochenderfer},\n  title     = {Deep stochastic radar models},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995697},\n}\n\n
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\n \n\n \n \n \n \n \n Belief state planning for autonomously navigating urban intersections.\n \n \n \n\n\n \n Bouton, M.; Cosgun, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Bouton2017,\n  author    = {Maxime Bouton and Akansel Cosgun and Mykel J. Kochenderfer},\n  title     = {Belief state planning for autonomously navigating urban intersections},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995818},\n}\n\n
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\n \n\n \n \n \n \n \n \n POMDPs.jl: A framework for sequential decision making under uncertainty.\n \n \n \n \n\n\n \n Egorov, M.; Sunberg, Z. N.; Balaban, E.; Wheeler, T. A.; Gupta, J. K.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Machine Learning Research, 18(26): 1–5. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"POMDPs.jl:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Egorov2017,\n  author  = {Maxim Egorov and Zachary N. Sunberg and Edward Balaban and Tim A. Wheeler and Jayesh K. Gupta and Mykel J. Kochenderfer},\n  title   = {{POMDPs.jl}: {A} framework for sequential decision making under uncertainty},\n  journal = jmlr,\n  year    = {2017},\n  volume  = {18},\n  number  = {26},\n  pages   = {1--5},\n  url     = {http://jmlr.org/papers/v18/16-300.html},\n}\n\n
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\n \n\n \n \n \n \n \n Heuristics for planning with rare catastrophic events.\n \n \n \n\n\n \n Kim, Y.; Gur, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Winter Simulation Conference, 2017. \n \n\n\n\n
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@InProceedings{Kim2017,\n  author    = {Youngjun Kim and Yonatan Gur and Mykel J. Kochenderfer},\n  title     = {Heuristics for planning with rare catastrophic events},\n  booktitle = {Winter Simulation Conference},\n  year      = {2017},\n  doi       = {10.1109/WSC.2017.8248024},\n}\n\n
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\n \n\n \n \n \n \n \n \n Burn-in demonstrations for multi-modal imitation learning.\n \n \n \n \n\n\n \n Kuefler, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Conference on Robotic Learning, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Burn-inPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kuefler2017corl,\n  author    = {Alex Kuefler and Mykel J. Kochenderfer},\n  title     = {Burn-in demonstrations for multi-modal imitation learning},\n  booktitle = {Conference on Robotic Learning},\n  year      = {2017},\n  url       = {https://arxiv.org/abs/1710.05090},\n}\n\n
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\n \n\n \n \n \n \n \n Imitating driver behavior with generative adversarial networks.\n \n \n \n\n\n \n Kuefler, A.; Morton, J.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Kuefler2017,\n  author    = {Alex Kuefler and Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Imitating driver behavior with generative adversarial networks},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995721},\n}\n\n\n
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\n \n\n \n \n \n \n \n Learning traffic patterns at small airports from flight tracks.\n \n \n \n\n\n \n Mahboubi, Z.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 18(4): 917-926. 2017.\n \n\n\n\n
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@Article{Mahboubi2017,\n  author  = {Zouhair Mahboubi and Mykel J. Kochenderfer},\n  title   = {Learning traffic patterns at small airports from flight tracks},\n  journal = ieeetits,\n  year    = {2017},\n  volume  = {18},\n  number  = {4},\n  pages   = {917-926},\n  doi     = {10.1109/TITS.2016.2598064},\n}\n\n
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\n \n\n \n \n \n \n \n Simultaneous policy learning and latent state inference for imitating driver behavior.\n \n \n \n\n\n \n Morton, J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017. \n \n\n\n\n
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@InProceedings{Morton2017itsc,\n  author    = {Jeremy Morton and Mykel J. Kochenderfer},\n  title     = {Simultaneous policy learning and latent state inference for imitating driver behavior},\n  booktitle = itsc,\n  year      = {2017},\n  doi       = {10.1109/ITSC.2017.8317738},\n}\n\n
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\n \n\n \n \n \n \n \n Analysis of recurrent neural networks for probabilistic modeling of driver behavior.\n \n \n \n\n\n \n Morton, J.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IEEE Transactions on Intelligent Transportation Systems, 18(5): 1289-1298. 2017.\n \n\n\n\n
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@Article{Morton2017,\n  author  = {Jeremy Morton and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title   = {Analysis of recurrent neural networks for probabilistic modeling of driver behavior},\n  journal = ieeetits,\n  year    = {2017},\n  volume  = {18},\n  number  = {5},\n  pages   = {1289-1298},\n  doi     = {10.1109/TITS.2016.2603007},\n}\n\n
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\n \n\n \n \n \n \n \n Markov decision process-based distributed conflict resolution for drone air traffic management.\n \n \n \n\n\n \n Ong, H. Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 40(1): 69-80. 2017.\n \n\n\n\n
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@Article{Ong2017,\n  author  = {Hao Yi Ong and Mykel J. Kochenderfer},\n  title   = {Markov decision process-based distributed conflict resolution for drone air traffic management},\n  journal = jgcd,\n  year    = {2017},\n  volume  = {40},\n  number  = {1},\n  pages   = {69-80},\n  doi     = {10.2514/1.G001822},\n}\n\n
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\n \n\n \n \n \n \n \n Generalizable intention prediction of human drivers at intersections.\n \n \n \n\n\n \n Phillips, D.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Phillips2017,\n  author    = {Derek Phillips and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Generalizable intention prediction of human drivers at intersections},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995948},\n}\n\n
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\n \n\n \n \n \n \n \n The value of inferring the internal state of traffic participants for autonomous freeway driving.\n \n \n \n\n\n \n Sunberg, Z. N.; Ho, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In American Control Conference (ACC), 2017. \n \n\n\n\n
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@InProceedings{Sunberg2017,\n  author    = {Zachary N. Sunberg and Christopher Ho and Mykel J. Kochenderfer},\n  title     = {The value of inferring the internal state of traffic participants for autonomous freeway driving},\n  booktitle = acc,\n  year      = {2017},\n  doi       = {10.23919/ACC.2017.7963408},\n}\n\n
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\n \n\n \n \n \n \n \n Deep stochastic radar models.\n \n \n \n\n\n \n Wheeler, T. A.; Holder, M. F.; Winner, H.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
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@InProceedings{Wheeler2017,\n  author    = {Tim A. Wheeler and Martin Friedrich Holder and Hermann Winner and Mykel J. Kochenderfer},\n  title     = {Deep stochastic radar models},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995697},\n}\n\n
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\n \n\n \n \n \n \n \n Stochastic Predictive Freeway Ramp Metering from Signal Temporal Logic Specifications.\n \n \n \n\n\n \n Mehr, N.; Sadigh, D.; Horowitz, R.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the American Control Conference (ACC), pages 4884–4889, May 2017. IEEE\n \n\n\n\n
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@inproceedings{mehr2017stochastic,\n  title = {Stochastic Predictive Freeway Ramp Metering from Signal Temporal Logic Specifications},\n  author = {Mehr, Negar and Sadigh, Dorsa and Horowitz, Roberto and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the American Control Conference (ACC)},\n  pages = {4884--4889},\n  year = {2017},\n  month = may,\n  publisher = {IEEE},\n  doi = {10.23919/ACC.2017.7963711}\n}\n\n
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\n \n\n \n \n \n \n \n Active Preference-Based Learning of Reward Functions.\n \n \n \n\n\n \n Sadigh, D.; Dragan, A. D.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of Robotics: Science and Systems (RSS), July 2017. \n \n\n\n\n
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@inproceedings{sadigh2017active,\n  title = {Active Preference-Based Learning of Reward Functions},\n  author = {Sadigh, Dorsa and Dragan, Anca D. and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of Robotics: Science and Systems ({RSS})},\n  year = {2017},\n  month = jul,\n  doi = {10.15607/RSS.2017.XIII.053}\n}\n\n
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\n \n\n \n \n \n \n \n Safe and Interactive Autonomy: Control, Learning, and Verification.\n \n \n \n\n\n \n Sadigh, D.\n\n\n \n\n\n\n Ph.D. Thesis, EECS Department, University of California, Berkeley, August 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{sadigh2017safe,\n  title = {Safe and Interactive Autonomy: Control, Learning, and Verification},\n  author = {Sadigh, Dorsa},\n  school = {EECS Department, University of California, Berkeley},\n  year = {2017},\n  month = aug\n}\n\n
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\n \n\n \n \n \n \n \n \n Belief state planning for autonomously navigating urban intersections.\n \n \n \n \n\n\n \n Bouton, M.; Cosgun, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
\n\n\n\n \n \n \"BeliefPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bouton2017,\n  author =    {Maxime Bouton and Akansel Cosgun and Mykel J. Kochenderfer},\n  title =     {Belief state planning for autonomously navigating urban intersections},\n  booktitle = iv,\n  year =      {2017},\n  doi =       {10.1109/IVS.2017.7995818},\n  url =       {https://arxiv.org/abs/1704.04322}\n}\n\n
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\n \n\n \n \n \n \n \n \n Automated dynamic resource allocation for wildfire suppression.\n \n \n \n \n\n\n \n Griffith, J. D.; Kochenderfer, M. J.; Moss, R. J.; Misic, V. V.; Gupta, V.; and Bertsimas, D.\n\n\n \n\n\n\n Lincoln Laboratory Journal, 22(2): 38-59. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"AutomatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Griffith2017,\n  author =  {J. Daniel Griffith and Mykel J. Kochenderfer and Robert J. Moss and Velibor V. Misic and Vishal Gupta and Dimitris Bertsimas},\n  title =   {Automated dynamic resource allocation for wildfire suppression},\n  journal = {Lincoln Laboratory Journal},\n  year =    {2017},\n  volume =  {22},\n  number =  {2},\n  pages =   {38-59},\n  url =     {https://www.ll.mit.edu/sites/default/files/page/doc/2018-06/22_2_3_Griffith.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n Neural network guidance for UAVs.\n \n \n \n\n\n \n Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), 2017. \n \n\n\n\n
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@InProceedings{Julian2017,\n  author    = {Kyle D. Julian and Mykel J. Kochenderfer},\n  title     = {Neural network guidance for {UAV}s},\n  booktitle = gnc,\n  year      = {2017},\n  doi       = {10.2514/6.2017-1743},\n}\n\n
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\n \n\n \n \n \n \n \n \n Reluplex: An efficient SMT solver for verifying deep neural networks.\n \n \n \n \n\n\n \n Katz, G.; Barrett, C.; Dill, D. L.; Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In International Conference on Computer-Aided Verification, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"Reluplex:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Katz2017,\n  author    = {Guy Katz and Clark Barrett and David L. Dill and Kyle D. Julian and Mykel J. Kochenderfer},\n  title     = {Reluplex: {A}n efficient {SMT} solver for verifying deep neural networks},\n  booktitle = {International Conference on Computer-Aided Verification},\n  year      = {2017},\n  url       = {https://arxiv.org/abs/1702.01135},\n}\n\n
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\n \n\n \n \n \n \n \n \n Towards proving the adversarial robustness of deep neural networks.\n \n \n \n \n\n\n \n Katz, G.; Barrett, C.; Dill, D. L.; Julian, K. D.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Workshop on Formal Verification of Autonomous Vehicles, International Conference on Integrated Formal Methods (iFM), 2017. \n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Katz2017fvav,\n  author    = {Guy Katz and Clark Barrett and David L. Dill and Kyle D. Julian and Mykel J. Kochenderfer},\n  title     = {Towards proving the adversarial robustness of deep neural networks},\n  booktitle = {Workshop on Formal Verification of Autonomous Vehicles, International Conference on Integrated Formal Methods (iFM)},\n  year      = {2017},\n  doi       = {10.4204/EPTCS.257.3},\n  url       = {https://arxiv.org/abs/1709.02802},\n}\n\n
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\n \n\n \n \n \n \n \n Heuristics for planning with rare catastrophic events.\n \n \n \n\n\n \n Kim, Y.; Gur, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Winter Simulation Conference, 2017. \n \n\n\n\n
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@InProceedings{Kim2017,\n  author    = {Youngjun Kim and Yonatan Gur and Mykel J. Kochenderfer},\n  title     = {Heuristics for planning with rare catastrophic events},\n  booktitle = {Winter Simulation Conference},\n  year      = {2017},\n  doi       = {10.1109/WSC.2017.8248024},\n}\n\n
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\n \n\n \n \n \n \n \n Markov decision process-based distributed conflict resolution for drone air traffic management.\n \n \n \n\n\n \n Ong, H. Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 40(1): 69-80. 2017.\n \n\n\n\n
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@Article{Ong2017,\n  author  = {Hao Yi Ong and Mykel J. Kochenderfer},\n  title   = {Markov decision process-based distributed conflict resolution for drone air traffic management},\n  journal = jgcd,\n  year    = {2017},\n  volume  = {40},\n  number  = {1},\n  pages   = {69-80},\n  doi     = {10.2514/1.G001822},\n}\n\n
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\n \n\n \n \n \n \n \n Generalizable intention prediction of human drivers at intersections.\n \n \n \n\n\n \n Phillips, D. J.; Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE Intelligent Vehicles Symposium (IV), 2017. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Phillips2017,\n  author    = {Derek J. Phillips and Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Generalizable intention prediction of human drivers at intersections},\n  booktitle = iv,\n  year      = {2017},\n  doi       = {10.1109/IVS.2017.7995948},\n}\n\n
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\n \n\n \n \n \n \n \n The value of inferring the internal state of traffic participants for autonomous freeway driving.\n \n \n \n\n\n \n Sunberg, Z. N.; Ho, C.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In American Control Conference (ACC), 2017. \n \n\n\n\n
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@InProceedings{Sunberg2017,\n  author    = {Zachary N. Sunberg and Christopher Ho and Mykel J. Kochenderfer},\n  title     = {The value of inferring the internal state of traffic participants for autonomous freeway driving},\n  booktitle = acc,\n  year      = {2017},\n  doi       = {10.23919/ACC.2017.7963408},\n}\n\n
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\n  \n 2016\n \n \n (42)\n \n \n
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\n \n\n \n \n \n \n \n Policy compression for aircraft collision avoidance systems.\n \n \n \n\n\n \n Julian, K.; Lopez, J.; Brush, J. S.; Owen, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2016. \n \n\n\n\n
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@InProceedings{Julian2016dasc,\n  author    = {Kyle Julian and Jessica Lopez and Jeffrey S. Brush and Michael Owen and Mykel J. Kochenderfer},\n  title     = {Policy compression for aircraft collision avoidance systems},\n  booktitle = dasc,\n  year      = {2016},\n  doi       = {10.1109/DASC.2016.7778091},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Optimal planning with rare catastrophic events.\n \n \n \n \n\n\n \n Kim, Y.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"OptimalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Kim2016thesis,\n  author = {Youngjun Kim},\n  title  = {Optimal planning with rare catastrophic events},\n  school = {Stanford University},\n  year   = {2016},\n  url    = {http://purl.stanford.edu/sx512pn1987},\n}\n\n
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\n \n\n \n \n \n \n \n Improving aircraft collision risk estimation using the cross-entropy method.\n \n \n \n\n\n \n Kim, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Air Transportation, 24(2): 55-61. 2016.\n \n\n\n\n
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@Article{Kim2016,\n  author  = {Youngjun Kim and Mykel J. Kochenderfer},\n  title   = {Improving aircraft collision risk estimation using the cross-entropy method},\n  journal = {Journal of Air Transportation},\n  year    = {2016},\n  volume  = {24},\n  number  = {2},\n  pages   = {55-61},\n  doi     = {10.2514/1.D0020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Automated air traffic control for non-towered airports.\n \n \n \n \n\n\n \n Mahboubi, Z.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AutomatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Mahboubi2016thesis,\n  Title                    = {Automated air traffic control for non-towered airports},\n  Author                   = {Zouhair Mahboubi},\n  School                   = {Stanford University},\n  Year                     = {2016},\n\n  Url                      = {http://purl.stanford.edu/xy440jg0968}\n}\n\n
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\n \n\n \n \n \n \n \n Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft.\n \n \n \n\n\n \n Mueller, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2016. \n \n\n\n\n
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@InProceedings{Mueller2016comp,\n  author    = {Eric Mueller and Mykel J. Kochenderfer},\n  title     = {Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft},\n  booktitle = aiaa_mands,\n  year      = {2016},\n  doi       = {10.2514/6.2016-3674},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-rotor aircraft collision avoidance using partially observable Markov decision processes.\n \n \n \n\n\n \n Mueller, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2016. \n \n\n\n\n
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@InProceedings{Mueller2016pomdp,\n  author    = {Eric Mueller and Mykel J. Kochenderfer},\n  title     = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},\n  booktitle = aiaa_mands,\n  year      = {2016},\n  doi       = {10.2514/6.2016-3673},\n}\n\n
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\n \n\n \n \n \n \n \n \n Multi-rotor aircraft collision avoidance using partially observable Markov decision processes.\n \n \n \n \n\n\n \n Mueller, E. R.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-rotorPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Mueller2016thesis,\n  Title                    = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},\n  Author                   = {Eric R. Mueller},\n  School                   = {Stanford University},\n  Year                     = {2016},\n\n  Url                      = {http://purl.stanford.edu/rv444dz2833}\n}\n\n
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\n \n\n \n \n \n \n \n Dynamic logic selection for unmanned aircraft separation.\n \n \n \n\n\n \n Owen, M. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), Sacramento, Calif., 2016. \n \n\n\n\n
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@InProceedings{Owen2016,\n  author    = {Michael P. Owen and Mykel J. Kochenderfer},\n  title     = {Dynamic logic selection for unmanned aircraft separation},\n  booktitle = dasc,\n  year      = {2016},\n  address   = {Sacramento, Calif.},\n  doi       = {10.1109/DASC.2016.7777959},\n}\n\n
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\n \n\n \n \n \n \n \n Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.\n \n \n \n\n\n \n Sunberg, Z.; Kochenderfer, M.; and Pavone, M.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2016. \n \n\n\n\n
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@InProceedings{Sunberg2016,\n  author    = {Zachary Sunberg and Mykel Kochenderfer and Marco Pavone},\n  title     = {Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming},\n  booktitle = icra,\n  year      = {2016},\n  doi       = {10.1109/ICRA.2016.7487280},\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance for unmanned aircraft using coordination tables.\n \n \n \n\n\n \n Tompa, R. E.; Wulfe, B.; Owen, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2016. \n \n\n\n\n
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@InProceedings{Tompa2016,\n  author    = {Rachael E. Tompa and Blake Wulfe and Michael Owen and Mykel J. Kochenderfer},\n  title     = {Collision avoidance for unmanned aircraft using coordination tables},\n  booktitle = dasc,\n  year      = {2016},\n  doi       = {10.1109/DASC.2016.7777958},\n}\n\n
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\n \n\n \n \n \n \n \n Factor graph scene distributions for automotive safety analysis.\n \n \n \n\n\n \n Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016. \n \n\n\n\n
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@InProceedings{Wheeler2016scene,\n  author    = {Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Factor graph scene distributions for automotive safety analysis},\n  booktitle = itsc,\n  year      = {2016},\n  address   = {Rio de Janeiro, Brazil},\n  doi       = {10.1109/ITSC.2016.7795683},\n}\n\n
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\n \n\n \n \n \n \n \n Analysis of microscopic behavior models for probabilistic modeling of driver behavior.\n \n \n \n\n\n \n Wheeler, T. A.; Robbel, P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016. \n \n\n\n\n
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@InProceedings{Wheeler2016models,\n  author    = {Tim A. Wheeler and Philipp Robbel and Mykel J. Kochenderfer},\n  title     = {Analysis of microscopic behavior models for probabilistic modeling of driver behavior},\n  booktitle = itsc,\n  year      = {2016},\n  address   = {Rio de Janeiro, Brazil},\n  doi       = {10.1109/ITSC.2016.7795772},\n}\n\n
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\n \n\n \n \n \n \n \n Policy compression for aircraft collision avoidance systems.\n \n \n \n\n\n \n Julian, K.; Lopez, J.; Brush, J. S.; Owen, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2016. \n \n\n\n\n
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@InProceedings{Julian2016dasc,\n  author    = {Kyle Julian and Jessica Lopez and Jeffrey S. Brush and Michael Owen and Mykel J. Kochenderfer},\n  title     = {Policy compression for aircraft collision avoidance systems},\n  booktitle = dasc,\n  year      = {2016},\n  doi       = {10.1109/DASC.2016.7778091},\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimal planning with rare catastrophic events.\n \n \n \n \n\n\n \n Kim, Y.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"OptimalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Kim2016thesis,\n  author = {Youngjun Kim},\n  title  = {Optimal planning with rare catastrophic events},\n  school = {Stanford University},\n  year   = {2016},\n  url    = {http://purl.stanford.edu/sx512pn1987},\n}\n\n
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\n \n\n \n \n \n \n \n Improving aircraft collision risk estimation using the cross-entropy method.\n \n \n \n\n\n \n Kim, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Air Transportation, 24(2): 55-61. 2016.\n \n\n\n\n
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@Article{Kim2016,\n  author  = {Youngjun Kim and Mykel J. Kochenderfer},\n  title   = {Improving aircraft collision risk estimation using the cross-entropy method},\n  journal = {Journal of Air Transportation},\n  year    = {2016},\n  volume  = {24},\n  number  = {2},\n  pages   = {55-61},\n  doi     = {10.2514/1.D0020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Automated air traffic control for non-towered airports.\n \n \n \n \n\n\n \n Mahboubi, Z.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AutomatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Mahboubi2016thesis,\n  Title                    = {Automated air traffic control for non-towered airports},\n  Author                   = {Zouhair Mahboubi},\n  School                   = {Stanford University},\n  Year                     = {2016},\n\n  Url                      = {http://purl.stanford.edu/xy440jg0968}\n}\n\n
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\n \n\n \n \n \n \n \n Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft.\n \n \n \n\n\n \n Mueller, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2016. \n \n\n\n\n
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@InProceedings{Mueller2016comp,\n  author    = {Eric Mueller and Mykel J. Kochenderfer},\n  title     = {Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft},\n  booktitle = aiaa_mands,\n  year      = {2016},\n  doi       = {10.2514/6.2016-3674},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-rotor aircraft collision avoidance using partially observable Markov decision processes.\n \n \n \n\n\n \n Mueller, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2016. \n \n\n\n\n
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@InProceedings{Mueller2016pomdp,\n  author    = {Eric Mueller and Mykel J. Kochenderfer},\n  title     = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},\n  booktitle = aiaa_mands,\n  year      = {2016},\n  doi       = {10.2514/6.2016-3673},\n}\n\n
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\n \n\n \n \n \n \n \n \n Multi-rotor aircraft collision avoidance using partially observable Markov decision processes.\n \n \n \n \n\n\n \n Mueller, E. R.\n\n\n \n\n\n\n Ph.D. Thesis, Stanford University, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-rotorPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@PhdThesis{Mueller2016thesis,\n  Title                    = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},\n  Author                   = {Eric R. Mueller},\n  School                   = {Stanford University},\n  Year                     = {2016},\n\n  Url                      = {http://purl.stanford.edu/rv444dz2833}\n}\n\n
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\n \n\n \n \n \n \n \n Dynamic logic selection for unmanned aircraft separation.\n \n \n \n\n\n \n Owen, M. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), Sacramento, Calif., 2016. \n \n\n\n\n
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@InProceedings{Owen2016,\n  author    = {Michael P. Owen and Mykel J. Kochenderfer},\n  title     = {Dynamic logic selection for unmanned aircraft separation},\n  booktitle = dasc,\n  year      = {2016},\n  address   = {Sacramento, Calif.},\n  doi       = {10.1109/DASC.2016.7777959},\n}\n\n
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\n \n\n \n \n \n \n \n Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.\n \n \n \n\n\n \n Sunberg, Z.; Kochenderfer, M.; and Pavone, M.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2016. \n \n\n\n\n
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@InProceedings{Sunberg2016,\n  author    = {Zachary Sunberg and Mykel Kochenderfer and Marco Pavone},\n  title     = {Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming},\n  booktitle = icra,\n  year      = {2016},\n  doi       = {10.1109/ICRA.2016.7487280},\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance for unmanned aircraft using coordination tables.\n \n \n \n\n\n \n Tompa, R. E.; Wulfe, B.; Owen, M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2016. \n \n\n\n\n
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@InProceedings{Tompa2016,\n  author    = {Rachael E. Tompa and Blake Wulfe and Michael Owen and Mykel J. Kochenderfer},\n  title     = {Collision avoidance for unmanned aircraft using coordination tables},\n  booktitle = dasc,\n  year      = {2016},\n  doi       = {10.1109/DASC.2016.7777958},\n}\n\n
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\n \n\n \n \n \n \n \n Factor graph scene distributions for automotive safety analysis.\n \n \n \n\n\n \n Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016. \n \n\n\n\n
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@InProceedings{Wheeler2016scene,\n  author    = {Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Factor graph scene distributions for automotive safety analysis},\n  booktitle = itsc,\n  year      = {2016},\n  address   = {Rio de Janeiro, Brazil},\n  doi       = {10.1109/ITSC.2016.7795683},\n}\n\n
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\n \n\n \n \n \n \n \n Analysis of microscopic behavior models for probabilistic modeling of driver behavior.\n \n \n \n\n\n \n Wheeler, T. A.; Robbel, P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016. \n \n\n\n\n
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@InProceedings{Wheeler2016models,\n  author    = {Tim A. Wheeler and Philipp Robbel and Mykel J. Kochenderfer},\n  title     = {Analysis of microscopic behavior models for probabilistic modeling of driver behavior},\n  booktitle = itsc,\n  year      = {2016},\n  address   = {Rio de Janeiro, Brazil},\n  doi       = {10.1109/ITSC.2016.7795772},\n}\n\n
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\n \n\n \n \n \n \n \n Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications.\n \n \n \n\n\n \n Ghosh, S.; Sadigh, D.; Nuzzo, P.; Raman, V.; Donzé, A.; Sangiovanni-Vincentelli, A. L.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control (HSCC), pages 31–40, April 2016. ACM\n \n\n\n\n
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@inproceedings{ghosh2016diagnosis,\n  title = {Diagnosis and Repair for Synthesis from Signal Temporal Logic Specifications},\n  author = {Ghosh, Shromona and Sadigh, Dorsa and Nuzzo, Pierluigi and Raman, Vasumathi and Donz{\\'e}, Alexandre and Sangiovanni-Vincentelli, Alberto L. and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control ({HSCC})},\n  pages = {31--40},\n  year = {2016},\n  month = apr,\n  publisher = {ACM},\n  doi = {10.1145/2883817.2883847},\n  xarxiv = {1602.01883}\n}\n\n
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\n \n\n \n \n \n \n \n Safe Control Under Uncertainty with Probabilistic Signal Temporal Logic.\n \n \n \n\n\n \n Sadigh, D.; and Kapoor, A.\n\n\n \n\n\n\n In Proceedings of Robotics: Science and Systems (RSS), June 2016. \n \n\n\n\n
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@inproceedings{sadigh2016safe,\n  title = {Safe Control Under Uncertainty with Probabilistic Signal Temporal Logic},\n  author = {Sadigh, Dorsa and Kapoor, Ashish},\n  booktitle = {Proceedings of Robotics: Science and Systems ({RSS})},\n  year = {2016},\n  month = jun,\n  doi = {10.15607/RSS.2016.XII.017},\n  xarxiv = {1510.07313}\n}\n\n
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\n \n\n \n \n \n \n \n Planning for Autonomous Cars that Leverage Effects on Human Actions.\n \n \n \n\n\n \n Sadigh, D.; Sastry, S. S.; Seshia, S. A.; and Dragan, A. D.\n\n\n \n\n\n\n In Proceedings of Robotics: Science and Systems (RSS), June 2016. \n \n\n\n\n
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@inproceedings{sadigh2016planning,\n  title = {Planning for Autonomous Cars that Leverage Effects on Human Actions},\n  author = {Sadigh, Dorsa and Sastry, S. Shankar and Seshia, Sanjit A. and Dragan, Anca D.},\n  booktitle = {Proceedings of Robotics: Science and Systems ({RSS})},\n  year = {2016},\n  month = jun,\n  doi = {10.15607/RSS.2016.XII.029}\n}\n\n
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\n \n\n \n \n \n \n \n Fast Safe Mission Plans for Autonomous Vehicles.\n \n \n \n\n\n \n Dey, D.; Sadigh, D.; and Kapoor, A.\n\n\n \n\n\n\n Technical Report Proceedings of Robotics: Science and Systems Workshop, June 2016.\n \n\n\n\n
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@techreport{dey2016fast,\n  title = {Fast Safe Mission Plans for Autonomous Vehicles},\n  author = {Dey, Debadeepta and Sadigh, Dorsa and Kapoor, Ashish},\n  institution = {Proceedings of Robotics: Science and Systems Workshop},\n  year = {2016},\n  month = jun\n}\n\n
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\n \n\n \n \n \n \n \n Towards Verified Artificial Intelligence.\n \n \n \n\n\n \n Seshia, S. A.; Sadigh, D.; and Sastry, S. S.\n\n\n \n\n\n\n Technical Report July 2016.\n \n\n\n\n
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@techreport{seshia2016towards,\n  title = {Towards Verified Artificial Intelligence},\n  author = {Seshia, Sanjit A. and Sadigh, Dorsa and Sastry, S. Shankar},\n  year = {2016},\n  month = jul,\n  xarxiv = {1606.08514}\n}\n\n
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\n \n\n \n \n \n \n \n Information Gathering Actions over Human Internal State.\n \n \n \n\n\n \n Sadigh, D.; Sastry, S. S.; Seshia, S. A.; and Dragan, A.\n\n\n \n\n\n\n In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 66–73, October 2016. IEEE\n Best paper in cognitive robotics award finalist.\n\n\n\n
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@inproceedings{sadigh2016information,\n  title = {Information Gathering Actions over Human Internal State},\n  author = {Sadigh, Dorsa and Sastry, S. Shankar and Seshia, Sanjit A. and Dragan, Anca},\n  booktitle = {Proceedings of the {IEEE}/{RSJ} International Conference on Intelligent Robots and Systems ({IROS})},\n  pages = {66--73},\n  year = {2016},\n  month = oct,\n  publisher = {IEEE},\n  doi = {10.1109/IROS.2016.7759036},\n  note = {Best paper in cognitive robotics award finalist.}\n}\n\n
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\n \n\n \n \n \n \n \n Towards Trustworthy Automation: User Interfaces that Convey Internal and External Awareness.\n \n \n \n\n\n \n Rezvani, T.; Driggs-Campbell, K.; Sadigh, D.; Sastry, S. S.; Seshia, S. A.; and Bajcsy, R.\n\n\n \n\n\n\n In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), pages 682–688, November 2016. IEEE\n \n\n\n\n
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@inproceedings{rezvani2016towards,\n  title = {Towards Trustworthy Automation: User Interfaces that Convey Internal and External Awareness},\n  author = {Rezvani, Tara and Driggs-Campbell, Katherine and Sadigh, Dorsa and Sastry, S. Shankar and Seshia, Sanjit A. and Bajcsy, Ruzena},\n  booktitle = {Proceedings of the {IEEE} Intelligent Transportation Systems Conference ({ITSC})},\n  pages = {682--688},\n  year = {2016},\n  month = nov,\n  publisher = {IEEE},\n  doi = {10.1109/itsc.2016.7795627}\n}\n\n
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\n \n\n \n \n \n \n \n \n Target surveillance in adversarial environments using POMDPs.\n \n \n \n \n\n\n \n Egorov, M.; Kochenderfer, M. J.; and Uudmae, J. J.\n\n\n \n\n\n\n In AAAI Conference on Artificial Intelligence (AAAI), 2016. \n \n\n\n\n
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@InProceedings{Egorov2016,\n  author    = {Maxim Egorov and Mykel J. Kochenderfer and Jaak J. Uudmae},\n  title     = {Target surveillance in adversarial environments using {POMDP}s},\n  booktitle = aaai,\n  year      = {2016},\n  url       = {http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12091/11900},\n}\n\n
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\n \n\n \n \n \n \n \n Policy compression for aircraft collision avoidance systems.\n \n \n \n\n\n \n Julian, K. D.; Lopez, J.; Brush, J. S.; Owen, M. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2016. \n \n\n\n\n
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@InProceedings{Julian2016dasc,\n  author    = {Kyle D. Julian and Jessica Lopez and Jeffrey S. Brush and Michael P. Owen and Mykel J. Kochenderfer},\n  title     = {Policy compression for aircraft collision avoidance systems},\n  booktitle = dasc,\n  year      = {2016},\n  doi       = {10.1109/DASC.2016.7778091},\n}\n\n
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\n \n\n \n \n \n \n \n Improving aircraft collision risk estimation using the cross-entropy method.\n \n \n \n\n\n \n Kim, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Air Transportation, 24(2): 55-61. 2016.\n \n\n\n\n
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@Article{Kim2016,\n  author  = {Youngjun Kim and Mykel J. Kochenderfer},\n  title   = {Improving aircraft collision risk estimation using the cross-entropy method},\n  journal = {Journal of Air Transportation},\n  year    = {2016},\n  volume  = {24},\n  number  = {2},\n  pages   = {55-61},\n  doi     = {10.2514/1.D0020},\n}\n\n
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\n \n\n \n \n \n \n \n Decision-theoretic approach to designing cyber resilient systems.\n \n \n \n\n\n \n Mehta, V.; Rowe, P.; Lewis, G.; Magalhaes, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Symposium on Network Computing and Applications, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Mehta2016,\n  author    = {Vineet Mehta and Paul Rowe and Gene Lewis and Ashe Magalhaes and Mykel J. Kochenderfer},\n  title     = {Decision-theoretic approach to designing cyber resilient systems},\n  booktitle = {IEEE International Symposium on Network Computing and Applications},\n  year      = {2016},\n  doi       = {10.1109/NCA.2016.7778634},\n}\n\n
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\n \n\n \n \n \n \n \n Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft.\n \n \n \n\n\n \n Mueller, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2016. \n \n\n\n\n
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@InProceedings{Mueller2016comp,\n  author    = {Eric Mueller and Mykel J. Kochenderfer},\n  title     = {Simulation comparison of collision avoidance algorithms for small multi-rotor aircraft},\n  booktitle = aiaa_mands,\n  year      = {2016},\n  doi       = {10.2514/6.2016-3674},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-rotor aircraft collision avoidance using partially observable Markov decision processes.\n \n \n \n\n\n \n Mueller, E.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, 2016. \n \n\n\n\n
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@InProceedings{Mueller2016pomdp,\n  author    = {Eric Mueller and Mykel J. Kochenderfer},\n  title     = {Multi-rotor aircraft collision avoidance using partially observable {M}arkov decision processes},\n  booktitle = aiaa_mands,\n  year      = {2016},\n  doi       = {10.2514/6.2016-3673},\n}\n\n
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\n \n\n \n \n \n \n \n Dynamic logic selection for unmanned aircraft separation.\n \n \n \n\n\n \n Owen, M. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), Sacramento, Calif., 2016. \n \n\n\n\n
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@InProceedings{Owen2016,\n  author    = {Michael P. Owen and Mykel J. Kochenderfer},\n  title     = {Dynamic logic selection for unmanned aircraft separation},\n  booktitle = dasc,\n  year      = {2016},\n  address   = {Sacramento, Calif.},\n  doi       = {10.1109/DASC.2016.7777959},\n}\n\n
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\n \n\n \n \n \n \n \n \n Exploiting anonymity in approximate linear programming: scaling to large multiagent MDPs.\n \n \n \n \n\n\n \n Robbel, P.; Oliehoek, F. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AAAI Conference on Artificial Intelligence (AAAI), 2016. \n \n\n\n\n
\n\n\n\n \n \n \"ExploitingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Robbel2016,\n  author    = {Philipp Robbel and Frans A. Oliehoek and Mykel J. Kochenderfer},\n  title     = {Exploiting anonymity in approximate linear programming: scaling to large multiagent {MDP}s},\n  booktitle = aaai,\n  year      = {2016},\n  url       = {http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/download/12407/11909},\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.\n \n \n \n \n\n\n \n Sunberg, Z. N.; Kochenderfer, M. J.; and Pavone, M.\n\n\n \n\n\n\n In IEEE International Conference on Robotics and Automation (ICRA), 2016. \n \n\n\n\n
\n\n\n\n \n \n \"OptimizedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Sunberg2016,\n  author =    {Zachary N. Sunberg and Mykel J. Kochenderfer and Marco Pavone},\n  title =     {Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming},\n  booktitle = icra,\n  year =      {2016},\n  doi =       {10.1109/ICRA.2016.7487280},\n  url =       {https://arxiv.org/abs/1602.04762}\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance for unmanned aircraft using coordination tables.\n \n \n \n\n\n \n Tompa, R. E.; Wulfe, B.; Owen, M. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2016. \n \n\n\n\n
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@InProceedings{Tompa2016,\n  author    = {Rachael E. Tompa and Blake Wulfe and Michael P. Owen and Mykel J. Kochenderfer},\n  title     = {Collision avoidance for unmanned aircraft using coordination tables},\n  booktitle = dasc,\n  year      = {2016},\n  doi       = {10.1109/DASC.2016.7777958},\n}\n\n
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\n \n\n \n \n \n \n \n Factor graph scene distributions for automotive safety analysis.\n \n \n \n\n\n \n Wheeler, T. A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, 2016. \n \n\n\n\n
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@InProceedings{Wheeler2016scene,\n  author    = {Tim A. Wheeler and Mykel J. Kochenderfer},\n  title     = {Factor graph scene distributions for automotive safety analysis},\n  booktitle = itsc,\n  year      = {2016},\n  address   = {Rio de Janeiro, Brazil},\n  doi       = {10.1109/ITSC.2016.7795683},\n}\n\n
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\n  \n 2015\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Reactive Synthesis from Signal Temporal Logic Specifications.\n \n \n \n\n\n \n Raman, V.; Donzé, A.; Sadigh, D.; Murray, R. M.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control (HSCC), pages 239–248, April 2015. ACM\n \n\n\n\n
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@inproceedings{raman2015reactive,\n  title = {Reactive Synthesis from Signal Temporal Logic Specifications},\n  author = {Raman, Vasumathi and Donz{\\'e}, Alexandre and Sadigh, Dorsa and Murray, Richard M. and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control ({HSCC})},\n  pages = {239--248},\n  year={2015},\n  month = apr,\n  publisher = {ACM},\n  doi = {10.1145/2728606.2728628}\n}\n\n
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\n \n\n \n \n \n \n \n Formal Methods for Semi-Autonomous Driving.\n \n \n \n\n\n \n Seshia, S. A.; Sadigh, D.; and Sastry, S. S.\n\n\n \n\n\n\n In Proceedings of the Design Automation Conference (DAC), pages 1–5, June 2015. ACM\n \n\n\n\n
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@inproceedings{seshia2015formal,\n  title = {Formal Methods for Semi-Autonomous Driving},\n  author = {Seshia, Sanjit A. and Sadigh, Dorsa and Sastry, S. Shankar},\n  booktitle = {Proceedings of the Design Automation Conference ({DAC})},\n  pages = {1--5},\n  year = {2015},\n  month = jun,\n  publisher = {ACM},\n  doi = {10.1145/2744769.2747927}\n}\n\n
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\n \n\n \n \n \n \n \n Improving aircraft collision risk estimation using the cross-entropy method.\n \n \n \n\n\n \n Kim, Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Modeling and Simulation Conference, Kissimmee, FL, 2015. \n \n\n\n\n
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@InProceedings{Kim2015,\n  author    = {Youngjun Kim and Mykel J. Kochenderfer},\n  title     = {Improving aircraft collision risk estimation using the cross-entropy method},\n  booktitle = aiaa_mands,\n  year      = {2015},\n  address   = {Kissimmee, FL},\n  doi       = {10.2514/6.2015-0146},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptive stress testing of airborne collision avoidance systems.\n \n \n \n\n\n \n Lee, R.; Kochenderfer, M. J.; Mengshoel, O. J.; Brat, G. P.; and Owen, M. P.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2015. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Lee2015,\n  author    = {Ritchie Lee and Mykel J. Kochenderfer and Ole J. Mengshoel and Guillaume P. Brat and Michael P. Owen},\n  title     = {Adaptive stress testing of airborne collision avoidance systems},\n  booktitle = dasc,\n  year      = {2015},\n  doi       = {10.1109/DASC.2015.7311450},\n}\n\n
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\n \n\n \n \n \n \n \n Short-term conflict resolution for unmanned aircraft traffic management.\n \n \n \n\n\n \n Ong, H. Y.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2015. \n \n\n\n\n
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@InProceedings{Ong2015,\n  Title                    = {Short-term conflict resolution for unmanned aircraft traffic management},\n  Author                   = {Hao Yi Ong and Mykel J. Kochenderfer},\n  Booktitle                = dasc,\n  Year                     = {2015},\n\n  Doi                      = {10.1109/DASC.2015.7311424}\n}\n\n
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\n  \n 2014\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior.\n \n \n \n\n\n \n Sadigh, D.; Driggs-Campbell, K.; Puggelli, A.; Li, W.; Shia, V.; Bajcsy, R.; Sangiovanni-Vincentelli, A. L.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the AAAI Spring Symposium on Formal Verification and Modeling in Human-Machine Systems, March 2014. AAAI\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sadigh2014data,\n  title = {Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior},\n  author = {Sadigh, Dorsa and Driggs-Campbell, Katherine and Puggelli, Alberto and Li, Wenchao and Shia, Victor and Bajcsy, Ruzena and Sangiovanni-Vincentelli, Alberto L. and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the {AAAI} Spring Symposium on Formal Verification and Modeling in Human-Machine Systems},\n  year = {2014},\n  month = mar,\n  publisher = {AAAI}\n}\n\n
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\n \n\n \n \n \n \n \n Synthesis for Human-in-the-Loop Control Systems.\n \n \n \n\n\n \n Li, W.; Sadigh, D.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 20th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS), pages 470–484, March 2014. Springer\n \n\n\n\n
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@inproceedings{li2014synthesis,\n  title = {Synthesis for Human-in-the-Loop Control Systems},\n  author = {Li, Wenchao and Sadigh, Dorsa and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the 20th International Conference on Tools and Algorithms for the Construction and Analysis of Systems ({TACAS})},\n  pages = {470--484},\n  year = {2014},\n  month = mar,\n  publisher = {Springer},\n  doi = {10.1007/978-3-642-54862-8_40}\n}\n\n
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\n \n\n \n \n \n \n \n Safety Envelope for Security.\n \n \n \n\n\n \n Tiwari, A.; Dutertre, B.; Jovanović, D.; de Candia, T.; Lincoln, P. D.; Rushby, J.; Sadigh, D.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 3rd International Conference on High Confidence Networked Systems (HiCoNS), pages 85–94, April 2014. ACM\n \n\n\n\n
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@inproceedings{tiwari2014safety,\n  title = {Safety Envelope for Security},\n  author = {Tiwari, Ashish and Dutertre, Bruno and Jovanovi{\\'c}, Dejan and de Candia, Thomas and Lincoln, Patrick D. and Rushby, John and Sadigh, Dorsa and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the 3rd International Conference on High Confidence Networked Systems ({HiCoNS})},\n  pages = {85--94},\n  year = {2014},\n  month = apr,\n  publisher = {ACM},\n  doi = {10.1145/2566468.2566483}\n}\n\n
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\n \n\n \n \n \n \n \n User Interface Design and Verification for Semi-Autonomous Driving.\n \n \n \n\n\n \n Sadigh, D.; Driggs-Campbell, K.; Bajcsy, R.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 3rd International Conference on High Confidence Networked Systems (HiCoNS), pages 63–64, April 2014. ACM\n \n\n\n\n
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@inproceedings{sadigh2014user,\n  title = {User Interface Design and Verification for Semi-Autonomous Driving},\n  author = {Sadigh, Dorsa and Driggs-Campbell, Katherine and Bajcsy, Ruzena and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the 3rd International Conference on High Confidence Networked Systems ({HiCoNS})},\n  pages = {63--64},\n  year = {2014},\n  month = apr,\n  publisher = {ACM},\n  doi = {10.1145/2566468.2576851}\n}\n\n
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\n \n\n \n \n \n \n \n Robust Subspace System Identification via Weighted Nuclear Norm Optimization.\n \n \n \n\n\n \n Sadigh, D.; Ohlsson, H.; Seshia, S. A.; and Sastry, S. S.\n\n\n \n\n\n\n In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), pages 9510–9515, August 2014. Elsevier\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sadigh2014robust,\n  title = {Robust Subspace System Identification via Weighted Nuclear Norm Optimization},\n  author = {Sadigh, Dorsa and Ohlsson, Henrik and Seshia, Sanjit A. and Sastry, S. Shankar},\n  booktitle = {Proceedings of the 19th World Congress of the International Federation of Automatic Control ({IFAC})},\n  pages = {9510--9515},\n  year = {2014},\n  month = aug,\n  publisher = {Elsevier},\n  doi = {10.3182/20140824-6-ZA-1003.02698},\n  xarxiv = {1312.2132}\n}\n\n
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\n \n\n \n \n \n \n \n A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications.\n \n \n \n\n\n \n Sadigh, D.; Kim, E. S.; Coogan, S.; Sastry, S. S.; and Seshia, S. A.\n\n\n \n\n\n\n In Proceedings of the 53rd IEEE Conference on Decision and Control (CDC), pages 1091–1096, December 2014. IEEE\n \n\n\n\n
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@inproceedings{sadigh2014learning,\n  title = {A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications},\n  author = {Sadigh, Dorsa and Kim, Eric S. and Coogan, Samuel and Sastry, S. Shankar and Seshia, Sanjit A.},\n  booktitle = {Proceedings of the 53rd {IEEE} Conference on Decision and Control ({CDC})},\n  pages = {1091--1096},\n  year = {2014},\n  month = dec,\n  publisher = {IEEE},\n  doi = {10.1109/cdc.2014.7039527},\n  xarxiv = {1409.5486}\n}\n\n
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\n \n\n \n \n \n \n \n Error model estimation for airborne beacon-based surveillance.\n \n \n \n\n\n \n Panken, A.; and Kochenderfer, M. J.\n\n\n \n\n\n\n IET Radar, Sonar and Navigation, 8(6): 667-675. 2014.\n \n\n\n\n
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@Article{Panken2014,\n  author  = {Adam Panken and Mykel J. Kochenderfer},\n  title   = {Error model estimation for airborne beacon-based surveillance},\n  journal = {IET Radar, Sonar and Navigation},\n  year    = {2014},\n  volume  = {8},\n  number  = {6},\n  pages   = {667-675},\n  doi     = {10.1049/iet-rsn.2013.0266},\n}\n\n
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\n  \n 2013\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n Vertical state estimation for aircraft collision avoidance with quantized measurements.\n \n \n \n\n\n \n Asmar, D. M.; Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 36(6): 1797-1802. 2013.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Asmar2013,\n  author  = {Dylan M. Asmar and Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title   = {Vertical state estimation for aircraft collision avoidance with quantized measurements},\n  journal = jgcd,\n  year    = {2013},\n  volume  = {36},\n  number  = {6},\n  pages   = {1797-1802},\n  doi     = {10.2514/1.58938},\n}\n\n
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\n \n\n \n \n \n \n \n Fielding a sense and avoid capability for unmanned aircraft systems: policy, standards, technology, and safety modeling.\n \n \n \n\n\n \n Cole, R.; Kochenderfer, M. J.; Weibel, R. E.; Edwards, M. W. M.; Griffith, J. D.; and Olson, W. A.\n\n\n \n\n\n\n Air Traffic Control Quarterly, 21(1): 5-27. 2013.\n \n\n\n\n
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@Article{Cole2013,\n  author  = {Rodney Cole and Mykel J. Kochenderfer and Roland E. Weibel and Matthew W. M. Edwards and J. Daniel Griffith and Wesley A. Olson},\n  title   = {Fielding a sense and avoid capability for unmanned aircraft systems: policy, standards, technology, and safety modeling},\n  journal = atcq,\n  year    = {2013},\n  volume  = {21},\n  number  = {1},\n  pages   = {5-27},\n  doi     = {10.2514/atcq.21.1.5},\n}\n\n
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\n \n\n \n \n \n \n \n Optimizing the next generation collision avoidance system for safe, suitable, and acceptable operational performance.\n \n \n \n\n\n \n Holland, J. E.; Kochenderfer, M. J.; and Olson, W. A.\n\n\n \n\n\n\n Air Traffic Control Quarterly, 21(3): 275-297. 2013.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{Holland2013,\n  author  = {Jessica E. Holland and Mykel J. Kochenderfer and Wesley A. Olson},\n  title   = {Optimizing the next generation collision avoidance system for safe, suitable, and acceptable operational performance},\n  journal = atcq,\n  year    = {2013},\n  volume  = {21},\n  number  = {3},\n  pages   = {275-297},\n  doi     = {10.2514/atcq.21.3.275},\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimizing the next generation collision avoidance system for safe, suitable, and acceptable operational performance.\n \n \n \n \n\n\n \n Holland, J. E.; Kochenderfer, M. J.; and Olson, W. A.\n\n\n \n\n\n\n In Air Traffic Management Research and Development Seminar, Chicago, Illinois, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"OptimizingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@InProceedings{Holland2013atm,\n  author    = {Jessica E. Holland and Mykel J. Kochenderfer and Wesley A. Olson},\n  title     = {Optimizing the next generation collision avoidance system for safe, suitable, and acceptable operational performance},\n  booktitle = atm,\n  year      = {2013},\n  address   = {Chicago, Illinois},\n  url       = {http://www.atmseminar.org/seminarContent/seminar10/papers/247-Holland_0126130538-Final-Paper-4-5-13.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance using partially controlled Markov decision processes.\n \n \n \n\n\n \n Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n In Filipe, J.; and Fred, A., editor(s), Agents and Artificial Intelligence, volume 271, pages 86-100. Springer, 2013.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InCollection{Kochenderfer2013,\n  author    = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title     = {Collision avoidance using partially controlled {M}arkov decision processes},\n  booktitle = {Agents and Artificial Intelligence},\n  publisher = {Springer},\n  year      = {2013},\n  editor    = {Filipe, Joaquim and Fred, Ana},\n  volume    = {271},\n  pages     = {86-100},\n  isbn      = {978-3-642-29965-0},\n  doi       = {10.1007/978-3-642-29966-7_6},\n  keywords  = {Markov decision processes; Dynamic programming; Collision avoidance},\n}\n\n
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\n \n\n \n \n \n \n \n Compression of optimal value functions for Markov decision processes.\n \n \n \n\n\n \n Kochenderfer, M. J.; and Monath, N.\n\n\n \n\n\n\n In Data Compression Conference, Snowbird, Utah, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@InProceedings{Kochenderfer2013a,\n  author    = {Mykel J. Kochenderfer and Nicholas Monath},\n  title     = {Compression of optimal value functions for {M}arkov decision processes},\n  booktitle = {Data Compression Conference},\n  year      = {2013},\n  address   = {Snowbird, Utah},\n  doi       = {10.1109/DCC.2013.81},\n}\n\n
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\n \n\n \n \n \n \n \n Traffic alert optimization for airborne collision avoidance systems.\n \n \n \n\n\n \n Puntin, B.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), Boston, Mass., 2013. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Puntin2013,\n  author    = {Brendon Puntin and Mykel J. Kochenderfer},\n  title     = {Traffic alert optimization for airborne collision avoidance systems},\n  booktitle = gnc,\n  year      = {2013},\n  address   = {Boston, Mass.},\n  doi       = {10.2514/6.2013-4623},\n}\n\n
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\n \n\n \n \n \n \n \n \n Uncorrelated encounter model of the national airspace system version 2.0.\n \n \n \n \n\n\n \n Weinert, A. J.; Harkleroad, E. P.; Griffith, J. D.; Edwards, M. W. M.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Technical Report ATC-404, Massachusetts Institute of Technology, Lincoln Laboratory, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"UncorrelatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@TechReport{Weinert2013,\n  author      = {Andrew J. Weinert and Eric P. Harkleroad and J. Daniel Griffith and Matthew W. M. Edwards and Mykel J. Kochenderfer},\n  title       = {Uncorrelated encounter model of the national airspace system version 2.0},\n  institution = {Massachusetts Institute of Technology, Lincoln Laboratory},\n  year        = {2013},\n  type        = {Project Report},\n  number      = {ATC-404},\n  url         = {http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA589697},\n}\n\n
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\n  \n 2012\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Collision avoidance for general aviation.\n \n \n \n\n\n \n Billingsley, T. B.; Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n IEEE Aerospace and Electronic Systems Magazine, 27(7): 4-12. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Billingsley2012,\n  author  = {Thomas B. Billingsley and Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title   = {Collision avoidance for general aviation},\n  journal = {IEEE Aerospace and Electronic Systems Magazine},\n  year    = {2012},\n  volume  = {27},\n  number  = {7},\n  pages   = {4-12},\n  doi     = {10.1109/MAES.2012.6328836},\n}\n\n
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\n \n\n \n \n \n \n \n Decomposition methods for optimized collision avoidance with multiple threats.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 35(2): 398-405. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Chryssanthacopoulos2012decomp,\n  author  = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title   = {Decomposition methods for optimized collision avoidance with multiple threats},\n  journal = jgcd,\n  year    = {2012},\n  volume  = {35},\n  number  = {2},\n  pages   = {398-405},\n  doi     = {10.2514/1.54805},\n}\n\n
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\n \n\n \n \n \n \n \n Hazard alerting based on probabilistic models.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 35(2): 442-450. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Chryssanthacopoulos2012haz,\n  author  = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title   = {Hazard alerting based on probabilistic models},\n  journal = jgcd,\n  year    = {2012},\n  volume  = {35},\n  number  = {2},\n  pages   = {442-450},\n  doi     = {10.2514/1.54674},\n}\n\n
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\n \n\n \n \n \n \n \n A new approach for designing safer collision avoidance systems.\n \n \n \n\n\n \n Kochenderfer, M. J.; Chryssanthacopoulos, J. P.; and Weibel, R. E.\n\n\n \n\n\n\n Air Traffic Control Quarterly, 20(1): 27-45. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Kochenderfer2012atcq,\n  Title                    = {A new approach for designing safer collision avoidance systems},\n  Author                   = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos and Roland E. Weibel},\n  Journal                  = atcq,\n  Year                     = {2012},\n  Number                   = {1},\n  Pages                    = {27-45},\n  Volume                   = {20},\n\n  Doi                      = {10.2514/atcq.20.1.27}\n}\n\n
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\n \n\n \n \n \n \n \n \n Next generation airborne collision avoidance system.\n \n \n \n \n\n\n \n Kochenderfer, M. J.; Holland, J. E.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n Lincoln Laboratory Journal, 19(1): 17-33. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"NextPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Kochenderfer2012lljournal,\n  Title                    = {Next generation airborne collision avoidance system},\n  Author                   = {Mykel J. Kochenderfer and Jessica E. Holland and James P. Chryssanthacopoulos},\n  Journal                  = {Lincoln Laboratory Journal},\n  Year                     = {2012},\n  Number                   = {1},\n  Pages                    = {17-33},\n  Volume                   = {19},\n\n  Url                      = {https://www.ll.mit.edu/sites/default/files/page/doc/2018-05/19_1_1_Kochenderfer.pdf}\n}\n
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\n \n\n \n \n \n \n \n \n Predicting the behavior of interacting humans by fusing data from multiple sources.\n \n \n \n \n\n\n \n Schlicht, E. J.; Lee, R.; Wolpert, D. H.; Kochenderfer, M. J.; and Tracey, B. D.\n\n\n \n\n\n\n In Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Schlicht2012,\n  Title                    = {Predicting the behavior of interacting humans by fusing data from multiple sources},\n  Author                   = {Erik J. Schlicht and Ritchie Lee and David H. Wolpert and Mykel J. Kochenderfer and Brendan D. Tracey},\n  Booktitle                = uai,\n  Year                     = {2012},\n\n  Address                  = {Catalina Island, California},\n\n  Url                      = {http://www.auai.org/uai2012/papers/74.pdf}\n}\n\n
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\n  \n 2011\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Unmanned aircraft collision avoidance using continuous-state POMDPs.\n \n \n \n \n\n\n \n Bai, H.; Hsu, D.; Kochenderfer, M. J.; and Lee, W. S.\n\n\n \n\n\n\n In Robotics: Science and Systems, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"UnmannedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Bai2011,\n  author    = {Haoyu Bai and David Hsu and Mykel J. Kochenderfer and Wee Sun Lee},\n  title     = {Unmanned aircraft collision avoidance using continuous-state {POMDP}s},\n  booktitle = rss,\n  year      = {2011},\n  url       = {http://www.roboticsproceedings.org/rss07/p01.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance for general aviation.\n \n \n \n\n\n \n Billingsley, T. B.; Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), Seattle, Washington, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Billingsley2011dasc,\n  author    = {Thomas B. Billingsley and Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title     = {Collision avoidance for general aviation},\n  booktitle = dasc,\n  year      = {2011},\n  address   = {Seattle, Washington},\n  doi       = {10.1109/DASC.2011.6096169},\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance system optimization with probabilistic pilot response models.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In American Control Conference (ACC), 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Chryssanthacopoulos2011acc,\n  author    = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title     = {Collision avoidance system optimization with probabilistic pilot response models},\n  booktitle = acc,\n  year      = {2011},\n  doi       = {10.1109/ACC.2011.5990776},\n}\n\n
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\n \n\n \n \n \n \n \n Decomposition methods for optimized collision avoidance with multiple threats.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Chryssanthacopoulos2011dasc,\n  author    = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title     = {Decomposition methods for optimized collision avoidance with multiple threats},\n  booktitle = dasc,\n  year      = {2011},\n  doi       = {10.1109/DASC.2011.6095973},\n}\n\n
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\n \n\n \n \n \n \n \n Hazard alerting based on probabilistic models.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), Portland, Oregon, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Chryssanthacopoulos2011gnc,\n  author    = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title     = {Hazard alerting based on probabilistic models},\n  booktitle = gnc,\n  year      = {2011},\n  address   = {Portland, Oregon},\n  doi       = {10.2514/6.2011-6558},\n}\n\n
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\n \n\n \n \n \n \n \n Analysis of open-loop and closed-loop planning for aircraft collision avoidance.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Washington, D.C., 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Chryssanthacopoulos2011itsc,\n  author    = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title     = {Analysis of open-loop and closed-loop planning for aircraft collision avoidance},\n  booktitle = itsc,\n  year      = {2011},\n  address   = {Washington, D.C.},\n  doi       = {10.1109/ITSC.2011.6082799},\n}\n\n
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\n \n\n \n \n \n \n \n Accounting for state uncertainty in collision avoidance.\n \n \n \n\n\n \n Chryssanthacopoulos, J. P.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 34(4): 951-960. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Chryssanthacopoulos2011jgcd,\n  author  = {James P. Chryssanthacopoulos and Mykel J. Kochenderfer},\n  title   = {Accounting for state uncertainty in collision avoidance},\n  journal = jgcd,\n  year    = {2011},\n  volume  = {34},\n  number  = {4},\n  pages   = {951-960},\n  doi     = {10.2514/1.53172},\n}\n\n
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\n \n\n \n \n \n \n \n \n Robust airborne collision avoidance through dynamic programming.\n \n \n \n \n\n\n \n Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n Technical Report ATC-371, Massachusetts Institute of Technology, Lincoln Laboratory, 2011.\n \n\n\n\n
\n\n\n\n \n \n \"RobustPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@TechReport{Kochenderfer2011atc371,\n  author      = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title       = {Robust airborne collision avoidance through dynamic programming},\n  institution = {Massachusetts Institute of Technology, Lincoln Laboratory},\n  year        = {2011},\n  type        = {Project Report},\n  number      = {ATC-371},\n  url         = {https://www.ll.mit.edu/sites/default/files/publication/doc/2018-12/Kochenderfer_2011_ATC-371_WW-21458.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Partially-controlled Markov decision processes for collision avoidance systems.\n \n \n \n\n\n \n Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n In International Conference on Agents and Artificial Intelligence, Rome, Italy, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kochenderfer2011icaart,\n  author    = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title     = {Partially-controlled {M}arkov decision processes for collision avoidance systems},\n  booktitle = {International Conference on Agents and Artificial Intelligence},\n  year      = {2011},\n  address   = {Rome, Italy},\n  doi       = {10.5220/0003135800610070},\n}\n\n
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\n \n\n \n \n \n \n \n \n A new approach for designing safer collision avoidance systems.\n \n \n \n \n\n\n \n Kochenderfer, M. J.; Chryssanthacopoulos, J. P.; and Weibel, R. E.\n\n\n \n\n\n\n In Air Traffic Management Research and Development Seminar, Berlin, Germany, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kochenderfer2011atm,\n  author    = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos and Roland E. Weibel},\n  title     = {A new approach for designing safer collision avoidance systems},\n  booktitle = atm,\n  year      = {2011},\n  address   = {Berlin, Germany},\n  url       = {http://www.atmseminar.org/seminarContent/seminar9/papers/39-Kochenderfer-Final-Paper-4-15-11.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Aircraft collision avoidance using Monte Carlo real-time belief space search.\n \n \n \n\n\n \n Wolf, T. B.; and Kochenderfer, M. J.\n\n\n \n\n\n\n Journal of Intelligent and Robotic Systems, 64(2): 277-298. 2011.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Wolf2011,\n  author  = {Travis B. Wolf and Mykel J. Kochenderfer},\n  title   = {Aircraft collision avoidance using {M}onte {C}arlo real-time belief space search},\n  journal = {Journal of Intelligent and Robotic Systems},\n  year    = {2011},\n  volume  = {64},\n  number  = {2},\n  pages   = {277-298},\n  doi     = {10.1007/s10846-010-9532-6},\n}\n\n
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\n  \n 2010\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n A decision-theoretic approach to developing robust collision avoidance logic.\n \n \n \n\n\n \n Kochenderfer, M. J.; and Chryssanthacopoulos, J. P.\n\n\n \n\n\n\n In IEEE International Conference on Intelligent Transportation Systems (ITSC), Madeira Island, Portugal, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kochenderfer2010itsc,\n  author    = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos},\n  title     = {A decision-theoretic approach to developing robust collision avoidance logic},\n  booktitle = itsc,\n  year      = {2010},\n  address   = {Madeira Island, Portugal},\n  doi       = {10.1109/ITSC.2010.5625063},\n}\n\n
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\n \n\n \n \n \n \n \n \n Model-based optimization of airborne collision avoidance logic.\n \n \n \n \n\n\n \n Kochenderfer, M. J.; Chryssanthacopoulos, J. P.; Kaelbling, L. P.; Lozano-Perez, T.; and Kuchar, J. K.\n\n\n \n\n\n\n Technical Report ATC-360, Massachusetts Institute of Technology, Lincoln Laboratory, 2010.\n \n\n\n\n
\n\n\n\n \n \n \"Model-basedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@TechReport{Kochenderfer2010atc360,\n  author      = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos and Leslie P. Kaelbling and Tomas Lozano-Perez and James K. Kuchar},\n  title       = {Model-based optimization of airborne collision avoidance logic},\n  institution = {Massachusetts Institute of Technology, Lincoln Laboratory},\n  year        = {2010},\n  type        = {Project Report},\n  number      = {ATC-360},\n  url         = {https://www.ll.mit.edu/sites/default/files/publication/doc/2018-12/Kochenderfer_2010_ATC-360_WW-18658.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Robustness of optimized collision avoidance logic to modeling errors.\n \n \n \n\n\n \n Kochenderfer, M. J.; Chryssanthacopoulos, J. P.; and Radecki, P.\n\n\n \n\n\n\n In Digital Avionics Systems Conference (DASC), Salt Lake City, Utah, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kochenderfer2010dasc,\n  author    = {Mykel J. Kochenderfer and James P. Chryssanthacopoulos and Peter Radecki},\n  title     = {Robustness of optimized collision avoidance logic to modeling errors},\n  booktitle = dasc,\n  year      = {2010},\n  address   = {Salt Lake City, Utah},\n  doi       = {10.1109/DASC.2010.5655381},\n}\n\n
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\n \n\n \n \n \n \n \n Airspace encounter models for estimating collision risk.\n \n \n \n\n\n \n Kochenderfer, M. J.; Edwards, M. W. M.; Espindle, L. P.; Kuchar, J. K.; and Griffith, J. D.\n\n\n \n\n\n\n Journal of Guidance, Control, and Dynamics, 33(2): 487-499. 2010.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Kochenderfer2010jgcd,\n  author  = {Mykel J. Kochenderfer and Matthew W. M. Edwards and Leo P. Espindle and James K. Kuchar and J. Daniel Griffith},\n  title   = {Airspace encounter models for estimating collision risk},\n  journal = jgcd,\n  year    = {2010},\n  volume  = {33},\n  number  = {2},\n  pages   = {487-499},\n  doi     = {10.2514/1.44867},\n}\n\n
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\n \n\n \n \n \n \n \n On estimating mid-air collision risk.\n \n \n \n\n\n \n Kochenderfer, M. J.; Griffith, J. D.; and Olszta, J. E.\n\n\n \n\n\n\n In AIAA Aviation Technology, Integration, and Operations Conference, Fort Worth, Texas, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kochenderfer2010atio,\n  author    = {Mykel J. Kochenderfer and J. Daniel Griffith and Jessica E. Olszta},\n  title     = {On estimating mid-air collision risk},\n  booktitle = {AIAA Aviation Technology, Integration, and Operations Conference},\n  year      = {2010},\n  address   = {Fort Worth, Texas},\n  doi       = {10.2514/6.2010-9333},\n}\n\n
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\n \n\n \n \n \n \n \n Efficiently estimating ambient near mid-air collision risk for unmanned aircraft.\n \n \n \n\n\n \n Maki, E.; Weinert, A. J.; and Kochenderfer, M. J.\n\n\n \n\n\n\n In AIAA Aviation Technology, Integration, and Operations Conference, Fort Worth, Texas, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Maki2010,\n  author    = {Evan Maki and Andrew J. Weinert and Mykel J. Kochenderfer},\n  title     = {Efficiently estimating ambient near mid-air collision risk for unmanned aircraft},\n  booktitle = {AIAA Aviation Technology, Integration, and Operations Conference},\n  year      = {2010},\n  address   = {Fort Worth, Texas},\n  doi       = {10.2514/6.2010-9373},\n}\n\n
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\n \n\n \n \n \n \n \n Collision avoidance for unmanned aircraft using Markov decision processes.\n \n \n \n\n\n \n Temizer, S.; Kochenderfer, M. J.; Kaelbling, L. P.; Lozano-Perez, T.; and Kuchar, J. K.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), Toronto, Canada, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Temizer2010,\n  author    = {Selim Temizer and Mykel J. Kochenderfer and Leslie P. Kaelbling and Tomas Lozano-Perez and James K. Kuchar},\n  title     = {Collision avoidance for unmanned aircraft using {M}arkov decision processes},\n  booktitle = gnc,\n  year      = {2010},\n  address   = {Toronto, Canada},\n  doi       = {10.2514/6.2010-8040},\n}\n\n
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\n  \n 2008\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n A Bayesian approach to aircraft encounter modeling.\n \n \n \n\n\n \n Kochenderfer, M. J.; Espindle, L. P.; Kuchar, J. K.; and Griffith, J. D.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), Honolulu, Hawaii 2008. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@InProceedings{Kochenderfer2008em,\n  Title                    = {A {B}ayesian approach to aircraft encounter modeling},\n  Author                   = {Mykel J. Kochenderfer and Leo P. Espindle and James K. Kuchar and J. Daniel Griffith},\n  Booktitle                = gnc,\n  Year                     = {2008},\n  Month                    = {Honolulu, Hawaii},\n\n  Doi                      = {10.2514/6.2008-6629}\n}\n\n
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\n \n\n \n \n \n \n \n \n A comprehensive aircraft encounter model of the national airspace system.\n \n \n \n \n\n\n \n Kochenderfer, M. J.; Espindle, L. P.; Kuchar, J. K.; and Griffith, J. D.\n\n\n \n\n\n\n Lincoln Laboratory Journal, 17(2): 41-53. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{Kochenderfer2008lljournal,\n  author  = {Mykel J. Kochenderfer and Leo P. Espindle and James K. Kuchar and J. Daniel Griffith},\n  title   = {A comprehensive aircraft encounter model of the national airspace system},\n  journal = {Lincoln Laboratory Journal},\n  year    = {2008},\n  volume  = {17},\n  number  = {2},\n  pages   = {41-53},\n  url     = {https://pdfs.semanticscholar.org/4086/9e6358bded8c07a7e5480facee4223fa0a29.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n Hazard alerting using line-of-sight rate.\n \n \n \n\n\n \n Kochenderfer, M. J.; Griffith, J. D.; and Kuchar, J. K.\n\n\n \n\n\n\n In AIAA Guidance, Navigation, and Control Conference (GNC), Honolulu, Hawaii, 2008. \n \n\n\n\n
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@InProceedings{Kochenderfer2008los,\n  Title                    = {Hazard alerting using line-of-sight rate},\n  Author                   = {Mykel J. Kochenderfer and J. Daniel Griffith and James K. Kuchar},\n  Booktitle                = gnc,\n  Year                     = {2008},\n\n  Address                  = {Honolulu, Hawaii},\n\n  Doi                      = {10.2514/6.2008-6630}\n}\n\n
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