On the Completeness of Conflict-Based Search: Temporally-Relative Duplicate Pruning

Fuente: arXiv
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Autores principales: Walker, Thayne T, Sturtevant, Nathan R
Formato: Preprint
Publicado: 2024
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author Walker, Thayne T
Sturtevant, Nathan R
author_facet Walker, Thayne T
Sturtevant, Nathan R
contents Conflict-Based Search (CBS) algorithm for the multi-agent pathfinding (MAPF) problem is that it is incomplete for problems which have no solution; if no mitigating procedure is run in parallel, CBS will run forever when given an unsolvable problem instance. In this work, we introduce Temporally-Relative Duplicate Pruning (TRDP), a technique for duplicate detection and removal in both classic and continuous-time MAPF domains. TRDP is a simple procedure which closes the long-standing theoretic loophole of incompleteness for CBS by detecting and avoiding the expansion of duplicate states. TRDP is shown both theoretically and empirically to ensure termination without a significant impact on runtime in the majority of problem instances. In certain cases, TRDP is shown to increase performance significantly
format Preprint
id arxiv_https___arxiv_org_abs_2408_09028
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the Completeness of Conflict-Based Search: Temporally-Relative Duplicate Pruning
Walker, Thayne T
Sturtevant, Nathan R
Artificial Intelligence
Robotics
F.2.2; I.2.8
Conflict-Based Search (CBS) algorithm for the multi-agent pathfinding (MAPF) problem is that it is incomplete for problems which have no solution; if no mitigating procedure is run in parallel, CBS will run forever when given an unsolvable problem instance. In this work, we introduce Temporally-Relative Duplicate Pruning (TRDP), a technique for duplicate detection and removal in both classic and continuous-time MAPF domains. TRDP is a simple procedure which closes the long-standing theoretic loophole of incompleteness for CBS by detecting and avoiding the expansion of duplicate states. TRDP is shown both theoretically and empirically to ensure termination without a significant impact on runtime in the majority of problem instances. In certain cases, TRDP is shown to increase performance significantly
title On the Completeness of Conflict-Based Search: Temporally-Relative Duplicate Pruning
topic Artificial Intelligence
Robotics
F.2.2; I.2.8
url https://arxiv.org/abs/2408.09028