MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games

1 May 2024

Papers citing "MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games"

11 / 11 papers shown

Title
Steering No-Regret Agents in MFGs under Model Uncertainty Leo Widmer Jiawei Huang Niao He LLMSV 66 0 0 12 Mar 2025
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 51 0 0 07 Oct 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 41 1 0 21 Aug 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL Jiawei Huang Niao He Andreas Krause 37 6 0 08 Feb 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property Ioannis Anagnostides Ioannis Panageas Gabriele Farina T. Sandholm 43 3 0 19 Dec 2023
Learning Regularized Monotone Graphon Mean-Field Games Fengzhuo Zhang Vincent Y. F. Tan Zhaoran Wang Zhuoran Yang 53 7 0 12 Oct 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 49 2 0 05 Jun 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim Semih Cayci M. Geist Niao He 58 27 0 29 Dec 2022
Scaling up Mean Field Games with Online Mirror Descent Julien Perolat Sarah Perrin Romuald Elie Mathieu Laurière Georgios Piliouras M. Geist K. Tuyls Olivier Pietquin LRM AI4CE 66 65 0 28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 69 91 0 02 Feb 2021
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 104 139 0 13 Feb 2020