Mingxiao Feng

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Timar: Transition-Informed Representation for Sample-Efficient Multi-Agent Reinforcement Learning

Number of pages: 14 Posted: 25 Jan 2024

Mingxiao Feng, Yaodong Yang, Wengang Zhou and Houqiang Li

affiliation not provided to SSRN, Peking University, affiliation not provided to SSRN and University of Science and Technology of China (USTC)

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