Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities

27 May 2023

Papers citing "Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities"

8 / 8 papers shown

Title
Scalable Multi-Agent Reinforcement Learning with General Utilities Donghao Ying Yuhao Ding Alec Koppel Javad Lavaei 21 1 0 15 Feb 2023
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction Donghao Ying Mengzi Guo Hyunin Lee Yuhao Ding Javad Lavaei Zuo‐Jun Max Shen 27 4 0 22 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 111 233 0 20 May 2022
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 91 49 0 06 Oct 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 24 5 0 23 Sep 2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 99 56 0 13 Sep 2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method Junyu Zhang Chengzhuo Ni Zheng Yu Csaba Szepesvári Mengdi Wang 44 66 0 17 Feb 2021
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 99 78 0 18 Oct 2019