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Refined Hardness of Distance-Optimal Multi-Agent Path Finding
[article]
2022
arXiv
pre-print
We study the computational complexity of multi-agent path finding (MAPF). Given a graph G and a set of agents, each having a start and target vertex, the goal is to find collision-free paths minimizing the total distance traveled. To better understand the source of difficulty of the problem, we aim to study the simplest and least constrained graph class for which it remains hard. To this end, we restrict G to be a 2D grid, which is a ubiquitous abstraction, as it conveniently allows for
arXiv:2203.07416v1
fatcat:jo2fgd3f2jf6rlpy6s5rmasugm