Multi-Agent Reinforcement Learning in Stochastic Networked Systems

Multi-Agent Reinforcement Learning in Stochastic Networked Systems

11 June 2020

Adam Wierman

Papers citing "Multi-Agent Reinforcement Learning in Stochastic Networked Systems"

10 / 10 papers shown

Title
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective Arshiya Taj Abdul A. Saravanos Evangelos A. Theodorou 38 1 0 26 Feb 2024
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 24 1 0 14 Jan 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 31 8 0 13 Jan 2023
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems Xin Liu Honghao Wei Lei Ying 20 6 0 13 Dec 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning Yuanquan Hu Xiaoli Wei Jun Yan Heng-Wei Zhang 32 8 0 11 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 21 5 0 07 Sep 2022
Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games Zuguang Gao Qianqian Ma Tamer Bacsar J. Birge OffRL 20 7 0 15 Dec 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 27 36 0 05 Aug 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 90 145 0 04 May 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 14 31 0 05 Dec 2019