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20192026
most citedMobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

15 citations · 26 across the 15 of their papers we have counts for

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cs.AI2023

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

Chenning Yu, Qingbiao Li, Sicun Gao +1

Conflict-Based Search is one of the most popular methods for multi-agent path finding. Though it is complete and optimal, it does not scale well. Recent works have been proposed to…