Scaling up Mean Field Games with Online Mirror Descent

Scaling up Mean Field Games with Online Mirror Descent

28 February 2021

Julien Perolat

Sarah Perrin

Romuald Elie

Mathieu Laurière

Georgios Piliouras

Olivier Pietquin

Papers citing "Scaling up Mean Field Games with Online Mirror Descent"

7 / 7 papers shown

Title
Steering No-Regret Agents in MFGs under Model Uncertainty Leo Widmer Jiawei Huang Niao He LLMSV 61 0 0 12 Mar 2025
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang Xu Chen Xuan Di 87 4 0 17 Feb 2025
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 34 1 0 21 Aug 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
MF-OMO: An Optimization Formulation of Mean-Field Games Xin Guo Anran Hu Junzi Zhang 29 14 0 20 Jun 2022
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 86 35 0 20 Sep 2021
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 29 62 0 07 Jun 2021