Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

Tingyu Wu; Wenhao Li; Bo Jin; Wei Zhang; Xiangfeng Wang

doi:10.1007/978-3-031-11217-1_22

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Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

Tingyu Wu Wenhao Li Bo Jin Wei Zhang Xiangfeng Wang

Year: 2022 Lecture notes in computer science Pages: 301-316 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-11217-1_22

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Keywords:

Computer science Interpretability Reinforcement learning Mean field theory Field (mathematics) Scalability Decomposition Mathematical optimization Artificial intelligence Mathematics

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Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Adaptive Dynamic Programming Control

Physical Sciences → Computer Science → Computational Theory and Mathematics

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition

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