6 citations · 8 across the 3 of their papers we have counts for
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cs.RO2021★ 2 cited
Learning Selective Communication for Multi-Agent Path Finding
Ziyuan Ma, Yudong Luo, Jia Pan
Learning communication via deep reinforcement learning (RL) or imitation learning (IL) has recently been shown to be an effective way to solve Multi-Agent Path Finding (MAPF). Howe…
cs.RO2021★ 6 cited
Distributed Heuristic Multi-Agent Path Finding with Communication
Ziyuan Ma, Yudong Luo, Hang Ma
Multi-Agent Path Finding (MAPF) is essential to large-scale robotic systems. Recent methods have applied reinforcement learning (RL) to learn decentralized polices in partially obs…