Learning Deep Mean Field Games for Modeling Large Population Behavior

8 November 2017

Papers citing "Learning Deep Mean Field Games for Modeling Large Population Behavior"

6 / 6 papers shown

Title
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint M. Geist Julien Pérolat Mathieu Laurière Romuald Elie Sarah Perrin Olivier Bachem Rémi Munos Olivier Pietquin 37 62 0 07 Jun 2021
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 26 9 0 14 Dec 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 24 97 0 28 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 14 54 0 16 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods René Carmona Mathieu Laurière Zongjun Tan 40 61 0 09 Oct 2019
On the Convergence of Model Free Learning in Mean Field Games Romuald Elie Julien Pérolat Mathieu Laurière M. Geist Olivier Pietquin 27 89 0 04 Jul 2019