Julien P'erolat

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games

G. Piliouras, O. Pietquin, M. Geist, 2022, ICML.

On the Convergence of Model Free Learning in Mean Field Games

O. Pietquin, M. Geist, R. Elie, 2019, AAAI.

Generalization in Mean Field Games by Learning Master Policies pdf

Matthieu Geist, Olivier Pietquin, Mathieu Lauriere, 2021, AAAI.

Mean Field Games Flock! The Reinforcement Learning Way

Matthieu Geist, Olivier Pietquin, Mathieu Lauriere, 2021, IJCAI.

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

Yoram Bachrach, Satinder Singh, A. Tacchetti, 2020, NeurIPS.

Concave Utility Reinforcement Learning: the Mean-field Game viewpoint

R. Munos, O. Pietquin, M. Geist, 2021, AAMAS.