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Learning to Coordinate in Multi-Agent Systems: A Coordinated
  Actor-Critic Algorithm and Finite-Time Guarantees

Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees

11 October 2021
Siliang Zeng
Tianyi Chen
Alfredo García
Mingyi Hong
ArXivPDFHTML

Papers citing "Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees"

4 / 4 papers shown
Title
Scalable Multi-Agent Reinforcement Learning with General Utilities
Scalable Multi-Agent Reinforcement Learning with General Utilities
Donghao Ying
Yuhao Ding
Alec Koppel
Javad Lavaei
34
1
0
15 Feb 2023
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms
  with Finite-Time Analysis
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen
Yi Zhou
Rongrong Chen
Shaofeng Zou
13
24
0
08 Sep 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
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
On the Sample Complexity of Actor-Critic Method for Reinforcement
  Learning with Function Approximation
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
Harshat Kumar
Alec Koppel
Alejandro Ribeiro
99
79
0
18 Oct 2019
1