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Rethinking Individual Global Max in Cooperative Multi-Agent
  Reinforcement Learning

Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

20 September 2022
Yi-Te Hong
Yaochu Jin
Yang Tang
ArXivPDFHTML

Papers citing "Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning"

4 / 4 papers shown
Title
QFree: A Universal Value Function Factorization for Multi-Agent
  Reinforcement Learning
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang
Huiping Li
Di Cui
Demin Xu
OffRL
26
0
0
01 Nov 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Jie Song
Mingli Song
34
18
0
27 May 2023
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
57
211
0
18 Mar 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
148
355
0
16 Oct 2019
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