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\n \n\n \n \n \n \n \n \n Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system .\n \n \n \n \n\n\n \n Allassonnière, S.; Besson, R.; and Le Pennec, E.\n\n\n \n\n\n\n 2024.\n \n\n\n\n
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@Patent{allassonniere21,\n  author =\t {Allassonnière, S. and Besson, R. and Le Pennec, E.},\n  title =\t {Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical system },\n  year =\t 2024,\n  number =\t {US11881309B2},\n  keywords =\t {Patent, TOP5, Health, ThemeHealth, RL, ThemeRL},\n  subject =\t {Health, RL},\n  pubtype =\t {Patent},\n  reprint =\t {Patent/2021-ABLP.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Patent/2024-ABLP.pdf},\n  reprintok =\t 1,\n  lang =\t {English}\n}\n\n
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\n \n\n \n \n \n \n \n \n Towards Minimax Optimality of Model-based Robust Reinforcement Learning.\n \n \n \n \n\n\n \n Clavier, P.; Le Pennec, E.; and Geist, M.\n\n\n \n\n\n\n In Conference on Uncertainty in Artificial Intelligence (UAI), 2024. \n \n\n\n\n
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@inproceedings{clavier24,\n  author          = {Clavier, P. and Le Pennec, E. and Geist, M.},\n  booktitle       = {Conference on Uncertainty in Artificial Intelligence (UAI)},\n  title           = {Towards Minimax Optimality of Model-based Robust Reinforcement Learning},\n  year            = {2024},\n   keywords =\t {Proceedings, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {RL},\n   url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-UAI-CLPG},\n  lang = {english}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming.\n \n \n \n \n\n\n \n Forghieri, O.; Castel, H.; Hyon, E.; and Le Pennec, E.\n\n\n \n\n\n\n In International Conference on Automated Planning and Scheduling, 2024. \n \n\n\n\n
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@inproceedings{Forghieri24,\n  author          = {Forghieri, O. and Castel, H. and Hyon, E. and Le Pennec, E.},\n  booktitle       = {International Conference on Automated Planning and Scheduling},\n  title           = {Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming},\n  year            = {2024},\n  keywords =\t {Proceedings, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {RL},\n  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2024-ICAPS-FCHLP.pdf},\n  lang = {english}\n}\n\n%%% 2023\n\n
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\n \n\n \n \n \n \n \n \n Robust Reinforcement Learning with Distributional Risk-averse formulation.\n \n \n \n \n\n\n \n Clavier, P.; Allassonnière, S.; and Le Pennec, E.\n\n\n \n\n\n\n arXiv. 2022.\n \n\n\n\n
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@article{clavier22,\n  author          = {Clavier, P. and Allassonnière, S. and Le Pennec, E.},\n  journal         = {arXiv},\n  title           = {Robust Reinforcement Learning with Distributional Risk-averse formulation},\n  year            = {2022},\n  pubtype =\t {Preprint},\n  keywords =\t {Preprint, RL},\n  pubtype =\t {Preprint},\n  subject =\t {RL},\n  url_pdf = {http://lepennec.perso.math.cnrs.fr/Preprint/RL/2022-arXiv-CALP},\n  arXiv = {2206.06841}\n}\n
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\n \n\n \n \n \n \n \n \n Intelligent Questionnaires Using Approximate Dynamic Programming.\n \n \n \n \n\n\n \n Logé, F.; Le Pennec, E.; and Amadou-Boubacar, H.\n\n\n \n\n\n\n i-com, 19(3): 227-237. 2021.\n \n\n\n\n
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@Article{Loge21,\n  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},\n  title           = {Intelligent Questionnaires Using Approximate Dynamic Programming},\n  journal       = {i-com},\n  year            = {2021},\n  keywords =\t {Article, Health, ThemeHealth, TOP5, RL, ThemeRL},\n  pubtype =\t {Article},\n  subject =\t {Health, RL},\n  volume = 19,\n  number = 3,\n  pages = {227-237},\n  doi = {doi/10.1515/icom-2020-0022},\n  %preprint = {RL/2020-LLPAB-UCAI.pdf},\n  reprint = {RL/2021-LLPAB-i-com.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2021-LLPAB-i-com.pdf},\n  reprintOK = 1,\n  lang =\t {English}\n}\n\n
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\n \n\n \n \n \n \n \n \n Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning.\n \n \n \n \n\n\n \n Logé, F.; Le Pennec, E.; and Amadou-Boubacar, H.\n\n\n \n\n\n\n In 2020 KDD Workshop on Applied Data Science for Healthcare, 2020. \n \n\n\n\n
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@inproceedings{LogeDSHealh20,\n  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},\n  title           = {Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning},\n  booktitle       = {2020 KDD Workshop on Applied Data Science for Healthcare},\n  year            = {2020},\n  keywords =\t {Proceedings, Health, ThemeHealth, TOP5, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health, RL},\n  x-international-audience ={yes},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  preprint = {RL/2020-LLPAB-DSHealth.pdf},\n  reprint = {RL/2020-LLPAB-DSHealth.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-LLPAB-DSHealth.pdf},\n  arxiv = {2007.11880},\n  reprintOK = 1,\n  lang =\t {English}\n}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive predictive-questionnaire by approximate dynamic programming.\n \n \n \n \n\n\n \n Logé, F.; Le Pennec, E.; and Amadou-Boubacar, H.\n\n\n \n\n\n\n In UCAI 2020, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Adaptive pdf\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 \n \n\n\n\n
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@inproceedings{LogeUCAI20,\n  author          = {Logé, F. and Le Pennec, E. and Amadou-Boubacar, H.},\n  title           = {Adaptive predictive-questionnaire\nby approximate dynamic programming},\n  booktitle       = {UCAI 2020},\n  year            = {2020},\n  keywords =\t {Proceedings, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {RL},\n  x-international-audience ={yes},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  preprint = {RL/2020-LLPAB-UCAI.pdf},\n  reprint = {RL/2020-LLPAB-UCAI.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-LLPAB-UCAI.pdf},\n  reprintOK = 1,\n  lang =\t {English}\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application.\n \n \n \n \n\n\n \n Besson, R.; Le Pennec, E.; Allassonnière, S.; Stirnemann, J.; Neuraz, A.; and Spaggiari, E.\n\n\n \n\n\n\n In ICAART 2020, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"Optimization pdf\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 \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{BessonIcaart20,\n  author =\t {Besson, R. and Le Pennec, E. and Allassonnière,\n                  S. and Stirnemann, J. and Neuraz, A. and Spaggiari,\n                  E.},\n  title =\t {Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application},\n  year =\t 2020,\n  booktitle =\t {ICAART 2020},\n  keywords =\t {Proceedings, Health, ThemeHealth, TOP5, RL, ThemeRL},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {Health, RL},\n  x-international-audience ={yes},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  preprint = {RL/2020-BLPSNSA-ICAART.pdf},\n  reprint = {RL/2020-BLPSNSA-ICAART.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2020-BLPSNSA-ICAART.pdf},\n  reprintOK = 1,\n  lang =\t {English},\n  doi = {10.5220/0008938804750482}\n}\n\n%%% 2019\n\n\n
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\n \n\n \n \n \n \n \n \n Learning from both experts and data.\n \n \n \n \n\n\n \n Besson, R.; Le Pennec, E.; and Allassonnière, S.\n\n\n \n\n\n\n Entropy, 12(1). 2019.\n \n\n\n\n
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@Article{Besson19,\n  author =\t {Besson, R. and Le Pennec, E. and Allassonnière, S.},\n  title =\t {Learning from both experts and data},\n  journal =\t {Entropy},\n  year =\t 2019,\n  keywords =\t {Article, RL, ThemeRL},\n  pubtype =\t {Article},\n  subject =\t {RL},\n  volume =\t 12,\n  number =\t 1,\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2019-Entropy-BLPA.pdf},\n  preprint =\t {RL/2019-arXiv-BLPA.pdf},\n  reprint =\t {RL/2019-Entropy-BLPA.pdf},\n  reprintok =\t 1,\n  lang =\t {English},\n  arXiv =\t {1910.09043},\n  doi =\t\t {10.3390/e21121208}\n}\n\n
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\n \n\n \n \n \n \n \n \n Energy Management for Microgrids: a Reinforcement Learning Approach.\n \n \n \n \n\n\n \n Levent, T.; Preux, P.; Le Pennec, E.; Badosa, J.; Henri, G.; and Bonnassieux, Y.\n\n\n \n\n\n\n In IEE ISGT Europe, 2019. \n \n\n\n\n
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@InProceedings{Levent19,\n  author =\t {Levent, T. and Preux, Ph. and Le Pennec, E. and\n                  Badosa, J. and Henri, G. and Bonnassieux, Y.},\n  title =\t {Energy Management for Microgrids: a Reinforcement\n                  Learning Approach},\n  booktitle =\t {IEE ISGT Europe},\n  year =\t 2019,\n  x-international-audience ={yes},\n  x-proceedings ={yes},\n  x-invited-conference ={no},\n  keywords =\t {Proceedings, RL, TOP5},\n  pubtype =\t {Proceedings of international conference},\n  subject =\t {RL},\n  preprint =\t {RL/2019-ISGT-LPLPBHB.pdf},\n  reprint =\t {RL/2019-ISGT-LPLPBHB.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/RL/2019-ISGT-LPLPBHB.pdf},\n  reprintok =\t 1,\n  lang =\t {English},\n  doi =\t\t {10.1109/ISGTEurope.2019.8905538}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task.\n \n \n \n \n\n\n \n Besson, R.; Le Pennec, E.; Allassonnière, S.; Stirnemann, J.; Spaggiari, E.; and Neuraz, A.\n\n\n \n\n\n\n . 2018.\n \n\n\n\n
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@Article{Besson18,\n  author =\t {Besson, R. and Le Pennec, E. and Allassonnière,\n                  S. and Stirnemann, J. and Spaggiari, E. and Neuraz,\n                  A.},\n  title =\t {A Model-Based Reinforcement Learning Approach for a\n                  Rare Disease Diagnostic Task},\n  journaltitle = {Preprint},\n  year =\t 2018,\n  keywords =\t {Preprint, Health, ThemeHealth, RL, ThemeRL},\n  pubtype =\t {Preprint},\n  subject =\t {Health, RL},\n  preprint =\t {Health/2018-arXiv-BLPASSN.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Preprint/Health/2018-arXiv-BLPASSN.pdf},\n  lang =\t {English},\n  arXiv =\t {1811.10112}\n}\n\n
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