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A game-theoretic analysis of networked system control for common-pool
  resource management using multi-agent reinforcement learning

A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning

15 October 2020
Arnu Pretorius
Scott A. Cameron
Elan Van Biljon
Tom Makkink
Shahil Mawjee
J. D. Plessis
Jonathan P. Shock
Alexandre Laterre
Karim Beguir
ArXivPDFHTML

Papers citing "A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning"

3 / 3 papers shown
Title
Learning Roles with Emergent Social Value Orientations
Learning Roles with Emergent Social Value Orientations
Wenhao Li
Xiangfeng Wang
Bo Jin
J. Lu
H. Zha
18
3
0
31 Jan 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement
  Learning?
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han
Sanbao Su
Sihong He
Shuo Han
Haizhao Yang
Shaofeng Zou
Fei Miao
AAML
25
22
0
06 Dec 2022
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
114
595
0
28 Feb 2017
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