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Compiling Cost-Optimal Multi-Agent Pathfinding to ASP

Conference Paper Extended Abstracts Algorithms and Complexity · Artificial Intelligence · Automated Planning and Scheduling

Abstract

Multi-Agent Pathfinding (MAPF) over grids is the problem of finding n non-conflicting paths that lead n agents from a given initial cell to a given goal cell. Cost-optimal MAPF in addition minimizes the total number of actions performed by each agent before stopping at the goal. Being a combinatorial problem in nature, a number of compilations from MAPF to Answer Set Programming (ASP) exist. In this paper we propose a new one, which unlike existing ASP approaches (1) produces cost-optimal solutions, (2) exploits information that can be pre-computed quickly using Dijkstra

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Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
53477925001787890
v2026.09.13