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Continuous Control with Action Quantization from Demonstrations


Oct 19, 2021
Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin


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Twice regularized MDPs and the equivalence between robustness and regularization


Oct 12, 2021
Esther Derman, Matthieu Geist, Shie Mannor

* Accepted to NeurIPS 2021 

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Large Batch Experience Replay


Oct 04, 2021
Thibault Lahire, Matthieu Geist, Emmanuel Rachelson

* 21 pages, 6 figures 

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Generalization in Mean Field Games by Learning Master Policies


Sep 20, 2021
Sarah Perrin, Mathieu Lauri√®re, Julien P√©rolat, Romuald √Člie, Matthieu Geist, Olivier Pietquin


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Implicitly Regularized RL with Implicit Q-Values


Aug 16, 2021
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist


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A functional mirror ascent view of policy gradient methods with function approximation


Aug 12, 2021
Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux


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Offline Reinforcement Learning as Anti-Exploration


Jun 11, 2021
Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist


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There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning


Jun 09, 2021
Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist


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Concave Utility Reinforcement Learning: the Mean-field Game viewpoint


Jun 09, 2021
Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin


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What Matters for Adversarial Imitation Learning?


Jun 01, 2021
Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz


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Hyperparameter Selection for Imitation Learning


May 25, 2021
Leonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphael Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin

* ICML 2021 

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Mean Field Games Flock! The Reinforcement Learning Way


May 17, 2021
Sarah Perrin, Mathieu Lauri√®re, Julien P√©rolat, Matthieu Geist, Romuald √Člie, Olivier Pietquin


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Offline Reinforcement Learning with Pseudometric Learning


Mar 02, 2021
Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist


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Scaling up Mean Field Games with Online Mirror Descent


Feb 28, 2021
Julien Perolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin


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How To Train Your HERON


Feb 20, 2021
Antoine Richard, Stephanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cedric Pradalier


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Adversarially Guided Actor-Critic


Feb 08, 2021
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist

* Accepted at ICLR 2021 

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Self-Imitation Advantage Learning


Dec 22, 2020
Johan Ferret, Olivier Pietquin, Matthieu Geist

* AAMAS 2021 

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Munchausen Reinforcement Learning


Jul 28, 2020
Nino Vieillard, Olivier Pietquin, Matthieu Geist


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Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications


Jul 05, 2020
Sarah Perrin, Julien Perolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, Olivier Pietquin


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Show me the Way: Intrinsic Motivation from Demonstrations


Jun 23, 2020
Léonard Hussenot, Robert Dadashi, Matthieu Geist, Olivier Pietquin


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What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study


Jun 10, 2020
Marcin Andrychowicz, Anton Raichuk, Piotr StaŇĄczyk, Manu Orsini, Sertan Girgin, Raphael Marinier, L√©onard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem


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Primal Wasserstein Imitation Learning


Jun 08, 2020
Robert Dadashi, Léonard Hussenot, Matthieu Geist, Olivier Pietquin


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Stable and Efficient Policy Evaluation


Jun 06, 2020
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang

* IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS) 

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Leverage the Average: an Analysis of Regularization in RL


Apr 10, 2020
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist


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On Connections between Constrained Optimization and Reinforcement Learning


Oct 29, 2019
Nino Vieillard, Olivier Pietquin, Matthieu Geist

* Optimization Foundations of Reinforcement Learning Workshop at NeurIPS 2019 

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Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description


Oct 28, 2019
Assia Benbihi, Matthieu Geist, Cédric Pradalier


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Momentum in Reinforcement Learning


Oct 21, 2019
Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist


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