Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates

17 October 2018

Papers citing "Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates"

11 / 11 papers shown

Title
A primal-dual perspective for distributed TD-learning Han-Dong Lim Donghwan Lee 19 1 0 01 Oct 2023
An Algorithm For Adversary Aware Decentralized Networked MARL Soumajyoti Sarkar AAML 11 1 0 09 May 2023
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma OffRL 26 6 0 10 Jan 2022
Federated Reinforcement Learning at the Edge Konstantinos Gatsis FedML 26 5 0 11 Dec 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 18 2 0 25 Nov 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 15 24 0 08 Sep 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 203 0 04 Oct 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 33 174 0 24 Jul 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 55 1,180 0 24 Nov 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 408 0 11 Aug 2019