Raphaël Marinier
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Solving N player dynamic routing games with congestion: a mean field approach (extended abstract)
Alexandre Bayen
Eric Goubault
Julien Perolat
Mathieu Lou-roch Lauriere
Olivier Pietquin
Romuald Elie
Sarah Perrin
Sertan Girgin
Theophile Cabannes
(2022)
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO
Paul Muller
Mark Rowland
Romuald Elie
Georgios Piliouras
Julien Perolat
Mathieu Lou-roch Lauriere
Olivier Pietquin
Karl Paul Tuyls
Proc. of AAMAS2022 (2022)
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study
Marcin Andrychowicz
Piotr Michal Stanczyk
Manu Orsini
Sertan Girgin
Léonard Hussenot
Matthieu Geist
Olivier Pietquin
Marcin Michalski
Sylvain Gelly
ICLR (2021)
Hyperparameter Selection for Imitation Learning
Léonard Hussenot
Marcin Andrychowicz
Damien Vincent
Lukasz Piotr Stafiniak
Sertan Girgin
Nikola M Momchev
Manu Orsini
Matthieu Geist
Olivier Pietquin
ICML (2021)
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
Lasse Espeholt
Piotr Michal Stanczyk
Marcin Michalski
International Conference on Learning Representations (2020) (to appear)
Episodic Curiosity through Reachability
Nikolay Savinov
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
ICLR (2019)
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Karol Kurach
Marcin Michalski
Sylvain Gelly
arXiv (2018)
