3 citations · 7 across the 7 of their papers we have counts for
Showing 2024 · cs.MAShow all
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cs.MA2024★ 3 cited
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Thomy Phan, Joseph Driscoll, Justin Romberg +1
A wide range of real-world applications can be formulated as Multi-Agent Path Finding (MAPF) problem, where the goal is to find collision-free paths for multiple agents with indivi…
cs.MA2024★ 1 cited
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin +5
Multi-Agent Path Finding (MAPF) is the problem of finding a set of collision-free paths for multiple agents in a shared environment while minimizing the sum of travel time. Since s…