most citedUNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios

52 citations · 52 across the 1 of their papers we have counts for

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1 paper

cs.MA2022★ 52 cited

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios

Jiajun Chai, Weifan Li, Yuanheng Zhu +4

Multi-agent reinforcement learning methods such as VDN, QMIX, and QTRAN that adopt centralized training with decentralized execution (CTDE) framework have shown promising results i…