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Scalable Multi-Agent Reinforcement Learning for Networked Systems with
  Average Reward

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward

11 June 2020
Guannan Qu
Yiheng Lin
Adam Wierman
Na Li
ArXivPDFHTML

Papers citing "Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward"

16 / 16 papers shown
Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand
Ishani Karmarkar
Guannan Qu
83
1
0
01 Dec 2024
Distributed Policy Gradient for Linear Quadratic Networked Control with
  Limited Communication Range
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range
Yuzi Yan
Yuan-Chung Shen
26
0
0
05 Mar 2024
An Algorithm For Adversary Aware Decentralized Networked MARL
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
11
1
0
09 May 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
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
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
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems
Xin Liu
Honghao Wei
Lei Ying
23
6
0
13 Dec 2022
On the Near-Optimality of Local Policies in Large Cooperative
  Multi-Agent Reinforcement Learning
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
Cooperative Actor-Critic via TD Error Aggregation
Cooperative Actor-Critic via TD Error Aggregation
Martin Figura
Yixuan Lin
Ji Liu
V. Gupta
23
1
0
25 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked
  Systems
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
20
8
0
13 Jul 2022
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning
  via Randomized Linear Programming
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
24
4
0
22 Oct 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent
  Reinforcement Learning
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
Carlo Alfano
Patrick Rebeschini
32
5
0
23 Sep 2021
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning
Ilkin Safarli
Youjia Zhou
Bei Wang
19
0
0
02 Nov 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin
Guannan Qu
Longbo Huang
Adam Wierman
21
38
0
11 Jun 2020
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
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Guannan Qu
Adam Wierman
Na Li
14
31
0
05 Dec 2019
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