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C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining


Nov 07, 2022
Alexis Jacq, Manu Orsini, Gabriel Dulac-Arnold, Olivier Pietquin, Matthieu Geist, Olivier Bachem

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Learning Correlated Equilibria in Mean-Field Games


Aug 22, 2022
Paul Muller, Romuald Elie, Mark Rowland, Mathieu Lauriere, Julien Perolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls

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KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal


May 27, 2022
Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Michal Valko, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári

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* 29 pages, 6 figures 

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Learning Mean Field Games: A Survey


May 25, 2022
Mathieu Laurière, Sarah Perrin, Matthieu Geist, Olivier Pietquin

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Learning Energy Networks with Generalized Fenchel-Young Losses


May 19, 2022
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist

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Scalable Deep Reinforcement Learning Algorithms for Mean Field Games


Mar 22, 2022
Mathieu Lauri√®re, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien P√©rolat, Romuald √Člie, Olivier Pietquin, Matthieu Geist

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Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act


Mar 16, 2022
Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist

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* Autonomous Agents and Multi-Agent Systems (2022) 
* AAMAS 2022 (14 pages extended version, added Sec. 7.4 and appendix K) 

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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

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* Accepted to NeurIPS 2021 

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Large Batch Experience Replay


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

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* 21 pages, 6 figures 

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