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1803.11485
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QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
30 March 2018
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
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Papers citing
"QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"
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Title
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Confidence-Based Curriculum Learning for Multi-Agent Path Finding
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Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
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32
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13
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28
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45
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16
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31
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20
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Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
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26
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31
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Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
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Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
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Policy Diversity for Cooperative Agents
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