Search Results for author: Ni Mu

Found 1 papers, 0 papers with code

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance

no code implementations5 Dec 2022 Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu

Specifically, we introduce Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance(E-MAPP), a novel framework that leverages parallel programs to guide multiple agents to efficiently accomplish goals that require planning over $10+$ stages.

Multi-agent Reinforcement Learning reinforcement-learning +2

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