Mean Field Games Flock! The Reinforcement Learning Way

Mean Field Games Flock! The Reinforcement Learning Way

17 May 2021

Sarah Perrin

Mathieu Laurière

Julien Pérolat

Romuald Élie

Olivier Pietquin

Papers citing "Mean Field Games Flock! The Reinforcement Learning Way"

9 / 9 papers shown

Title
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL Yuxuan Zheng Yihe Zhou Feiyang Xu Mingli Song Shunyu Liu OffRL 34 0 0 10 May 2025
Modelling Mean-Field Games with Neural Ordinary Differential Equations Anna C. M. Thöni Yoram Bachrach Tal Kachman 38 0 0 17 Apr 2025
Causal Mean Field Multi-Agent Reinforcement Learning Hao Ma Zhiqiang Pu Yi Pan Boyin Liu Junlong Gao Zhenyu Guo 83 0 0 20 Feb 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 36 1 0 21 Aug 2024
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces Andrea Angiuli J. Fouque Ruimeng Hu Alan Raydan 35 5 0 19 Sep 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 89 35 0 20 Sep 2021
Exploration noise for learning linear-quadratic mean field games François Delarue A. Vasileiadis MLT 31 11 0 02 Jul 2021