A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning

A dataset for distributed reinforcement learning problem in which a network of multiple agents aim to cooperatively maximize the globally averaged return through communication with only local neighbors.

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Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Ba¸sar, Romeil Sandhu, Ji Liu (2025). Dataset: A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. https://doi.org/10.57702/kkek95vr

DOI retrieved: January 2, 2025

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.1907.03053
Author Yixuan Lin
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Kaiqing Zhang
Zhuoran Yang
Zhaoran Wang
Tamer Ba¸sar
Romeil Sandhu
Ji Liu