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\n  \n 2023\n \n \n (1)\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
\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{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 2022\n \n \n (22)\n \n \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
\n\n\n\n \n \n \"AdversariallyPaper\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{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 \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 \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 \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@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 \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@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
\n 
@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
\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{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
\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{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
\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{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 \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 \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 \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
\n\n\n\n \n \n \"Risk-drivenPaper\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{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
\n\n\n\n \n \n \"VerificationPaper\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{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 \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 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{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 \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 \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 2021\n \n \n (19)\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 \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 \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 \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 \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 \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 \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 \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
\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{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
\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{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 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{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
\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{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 \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 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{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 \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@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 \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
\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{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 \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 2020\n \n \n (11)\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
\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{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
\n 
@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
\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{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
\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{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 \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
\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{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
\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{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 2019\n \n \n (28)\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
\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{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 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{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 \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 \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 \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
\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{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 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{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 \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 \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 \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 \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 \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 \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
\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{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
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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
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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
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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
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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
\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={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
\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 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
\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{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
\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
\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
\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{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
\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 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
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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
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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
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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
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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
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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
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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
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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
\n 
@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\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
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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 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 \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
\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{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
\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 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
\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{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
\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{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
\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{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
\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{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 \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
\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{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
\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 7 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 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
\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{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
\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{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
\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{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
\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{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 \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
\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{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
\n 
@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
\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 7 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 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
\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{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
\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{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
\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{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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\n 
@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
\n\n\n\n \n \n \"TargetPaper\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{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
\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{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
\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{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
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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
\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{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 7 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
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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
\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{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
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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
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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
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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
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@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
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@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
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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
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@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
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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
\n 
@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 \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
\n 
@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
\n 
@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
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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\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
\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{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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