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Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
27 May 2023
Donghao Ying
Yunkai Zhang
Yuhao Ding
Alec Koppel
Javad Lavaei
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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
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