Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning

Real-world cooperation often requires intensive coordination among agents simultaneously. This task has been extensively studied within the framework of cooperative multi-agent reinforcement learning (MARL), and value decomposition methods are among those cutting-edge solutions. However, traditional...

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Veröffentlicht in:	arXiv.org 2023-02
Hauptverfasser:	Liu, Shanqi, Hu, Yujing, Wu, Runze, Xing, Dong, Xiong, Yu, Fan, Changjie, Kuang, Kun, Liu, Yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Cooperation Decomposition Machine learning Multiagent systems
Online-Zugang:	Volltext
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