Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning

27 August 2024

Papers citing "Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning"

5 / 5 papers shown

Title
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 27 0 0 07 Oct 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 29 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 24 6 0 08 Feb 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 28 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 81 34 0 20 Sep 2021