Global Convergence of Localized Policy Iteration in Networked
Multi-Agent Reinforcement Learning

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning

30 November 2022

Yizhou Zhang

Zaiwei Chen

Adam Wierman

Papers citing "Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning"

10 / 10 papers shown

Title
Human Machine Co-Adaptation Model and Its Convergence Analysis Steven W. Su Yaqi Li Kairui Guo Rob Duffield 59 0 0 10 Mar 2025
Scalable spectral representations for multi-agent reinforcement learning in network MDPs Zhaolin Ren Runyu Zhang Bo Dai 17 0 0 22 Oct 2024
A finite time analysis of distributed Q-learning Han-Dong Lim Donghwan Lee OffRL 50 0 0 23 May 2024
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range Yuzi Yan Yuan-Chung Shen 31 0 0 05 Mar 2024
Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach Jiajie Yu Pierre-Antoine Laharotte Yugang Han Wei Ma L. Leclercq 11 3 0 24 Aug 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park Kaipeng Zhang Asuman Ozdaglar 30 8 0 13 Jul 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities Donghao Ying Yunkai Zhang Yuhao Ding Alec Koppel Javad Lavaei 33 11 0 27 May 2023
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games Zhaoyi Zhou Zaiwei Chen Yiheng Lin Adam Wierman 43 7 0 08 Mar 2023
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games Zaiwei Chen Kaipeng Zhang Eric Mazumdar Asuman Ozdaglar Adam Wierman 51 6 0 03 Mar 2023
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems Xin Liu Honghao Wei Lei Ying 40 6 0 13 Dec 2022