Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning

27 August 2024

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

18 / 18 papers shown

Title
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 77 0 0 07 Oct 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 139 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 103 7 0 08 Feb 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 138 2 0 05 Jun 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path Muhammad Aneeq uz Zaman Alec Koppel Sujay Bhatt Tamer Basar 52 25 0 24 Aug 2022
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 128 37 0 29 Nov 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie Matthieu Geist Olivier Pietquin AI4CE 142 37 0 20 Sep 2021
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation Semih Cayci Niao He R. Srikant 95 36 0 08 Jun 2021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos W. Overman Ioannis Panageas Georgios Piliouras 85 123 0 03 Jun 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 126 94 0 02 Feb 2021
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications Sarah Perrin Julien Perolat Mathieu Laurière Matthieu Geist Romuald Elie Olivier Pietquin 80 121 0 05 Jul 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 58 27 0 21 Jun 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 145 294 0 13 May 2020
Q-Learning in Regularized Mean-field Games Berkay Anahtarci Can Deha Kariksiz Naci Saldi OOD 84 76 0 24 Mar 2020
Provably Efficient Exploration in Policy Optimization Qi Cai Zhuoran Yang Chi Jin Zhaoran Wang 83 283 0 12 Dec 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 98 958 0 11 Feb 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 550 19,296 0 20 Jul 2017
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,439 0 08 Jun 2015