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Scalable Reinforcement Learning for Multi-Agent Networked Systems

Scalable Reinforcement Learning for Multi-Agent Networked Systems

5 December 2019
Guannan Qu
Adam Wierman
Na Li
ArXivPDFHTML

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

8 / 8 papers shown
Title
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
Millend Roy
Vladimir Pyltsov
Yinbo Hu
12
0
0
16 May 2025
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
38
3
0
30 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park
Kaipeng Zhang
Asuman Ozdaglar
35
8
0
13 Jul 2023
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum
  Markov Games
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games
Anna Winnicki
R. Srikant
37
1
0
17 Mar 2023
Scalable Multi-Agent Reinforcement Learning with General Utilities
Scalable Multi-Agent Reinforcement Learning with General Utilities
Donghao Ying
Yuhao Ding
Alec Koppel
Javad Lavaei
43
1
0
15 Feb 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
44
6
0
13 Dec 2022
F2A2: Flexible Fully-decentralized Approximate Actor-critic for
  Cooperative Multi-agent Reinforcement Learning
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
25
21
0
17 Apr 2020
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