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Publication search results
found 112 matches
- 2024
- André Paulo Dantas de Araújo, Dickson H. J. Daniel, Raphael Guerra, Diego N. Brandão, Eduardo Charles Vasconcellos, Álvaro Pinto Fernandes de Negreiros, Esteban Walter Gonzalez Clua, Luiz M. G. Gonçalves, Philippe Preux:
General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring. IEEE Internet Things J. 11(3): 3801-3811 (2024) - Eduardo Charles Vasconcellos, Ronald M. Sampaio, André P. D. de Araújo, Esteban Walter Gonzales Clua, Philippe Preux, Raphael Guerra, Luiz M. G. Gonçalves, Luis Martí, Hernan Lira, Nayat Sánchez Pi:
Reinforcement-learning robotic sailboats: simulator and preliminary results. CoRR abs/2402.03337 (2024) - Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier:
PAQA: Toward ProActive Open-Retrieval Question Answering. CoRR abs/2402.16608 (2024) - Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux:
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. CoRR abs/2404.10906 (2024) - 2023
- Matheus Centa, Philippe Preux:
Soft Action Priors: Towards Robust Policy Transfer. AAAI 2023: 6953-6961 - Pierre Erbacher, Philippe Preux, Jian-Yun Nie, Laure Soulier:
Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte. CORIA-TALN 2023: 37-58 - Hector Kohler, Riad Akrour, Philippe Preux:
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. CoRR abs/2304.05839 (2023) - Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux:
AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. CoRR abs/2306.10882 (2023) - Patrick Saux, Pierre Bauvin, Violeta Raverdy, Julien Teigny, Hélène Verkindt, Tomy Soumphonphakdy, Maxence Debert, Anne Jacobs, Daan Jacobs, Valerie Monpellier, Phong Ching Lee, Chin Hong Lim, Johanna C. Andersson-Assarsson, Lena M. S. Carlsson, Per-Arne Svensson, Florence Galtier, Guelareh Dezfoulian, Mihaela Moldovanu, Severine Andrieux, Julien Couster, Marie Lepage, Erminia Lembo, Ornella Verrastro, Maud Robert, Paulina Salminen, Geltrude Mingrone, Ralph Peterli, Ricardo V. Cohen, Carlos Zerrweck, David Nocca, Carel W. Le Roux, Robert Caiazzo, Philippe Preux, François Pattou:
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study. CoRR abs/2308.16585 (2023) - Hector Kohler, Riad Akrour, Philippe Preux:
Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. CoRR abs/2309.12701 (2023) - Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier:
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. CoRR abs/2311.06119 (2023) - 2022
- Romain Gautron, Odalric-Ambrym Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin:
Reinforcement learning for crop management support: Review, prospects and challenges. Comput. Electron. Agric. 200: 107182 (2022) - Pierre Schegg, Jérémie Dequidt, Eulalie Coevoet, Edouard Leurent, Rémi Sabatier, Philippe Preux, Christian Duriez:
Automated Planning for Robotic Guidewire Navigation in the Coronary Arteries. RoboSoft 2022: 239-246 - Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bigot, Odalric-Ambrym Maillard, David Emukpere:
gym-DSSAT: a crop model turned into a Reinforcement Learning environment. CoRR abs/2207.03270 (2022) - Matheus Centa, Philippe Preux:
Soft Action Priors: Towards Robust Policy Transfer. CoRR abs/2209.09882 (2022) - Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour:
Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR abs/2210.08503 (2022) - 2021
- Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux:
READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. CLUSTER 2021: 70-81 - Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
Adversarially Guided Actor-Critic. ICLR 2021 - Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux:
Learning Value Functions in Deep Policy Gradients using Residual Variance. ICLR 2021 - Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. IJCAI 2021: 2950-2956 - Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. NeurIPS 2021: 1898-1911 - Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
Adversarially Guided Actor-Critic. CoRR abs/2102.04376 (2021) - Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. CoRR abs/2105.09992 (2021) - Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. CoRR abs/2106.04480 (2021) - Nathan Grinsztajn, Louis Leconte, Philippe Preux, Edouard Oyallon:
Interferometric Graph Transform for Community Labeling. CoRR abs/2106.05875 (2021) - Nathan Grinsztajn, Philippe Preux, Edouard Oyallon:
Low-Rank Projections of GCNs Laplacian. CoRR abs/2106.07360 (2021) - Toby Johnstone, Nathan Grinsztajn, Johan Ferret, Philippe Preux:
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences. CoRR abs/2110.10632 (2021) - 2020
- Yannis Flet-Berliac, Philippe Preux:
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. IJCAI 2020: 2711-2717 - Mathieu Seurin, Philippe Preux, Olivier Pietquin:
"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. IJCNN 2020: 1-8 - Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. INTERSPEECH 2020: 4323-4327
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