Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey

10 January 2024

Papers citing "Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey"

7 / 7 papers shown

Title
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour Antoine Vivien Thomas Chaffre Matthew Stephenson Eva Artusi Paulo E. Santos Benoit Clement Karl Sammut AI4CE 66 0 0 10 Feb 2025
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization Jiangxing Wang Deheng Ye Zongqing Lu OffRL 39 18 0 26 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning Kefan Su Siyuan Zhou Jiechuan Jiang Chuang Gan Xiangjun Wang Zongqing Lu OffRL 30 6 0 17 Sep 2022
Learning Stationary Nash Equilibrium Policies in $n$ -Player Stochastic Games with Independent Chains S. Rasoul Etesami 19 6 0 28 Jan 2022
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 114 595 0 28 Feb 2017