most citedAsynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.RO2023★ 11 cited

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

Chao Yu, Xinyi Yang, Jiaxuan Gao +8

We consider the problem of cooperative exploration where multiple robots need to cooperatively explore an unknown region as fast as possible. Multi-agent reinforcement learning (MA…