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A* Variants for Optimal Multi-Agent Pathfinding

Conference Paper Short Papers Algorithms and Complexity · Artificial Intelligence · Automated Planning and Scheduling

Abstract

Several variants of A* have been recently proposed for find-ing optimal solutions for the multi-agent pathfinding (MAPF)problem. We describe the application of the new enhancedpartial-expansion technique to MAPF, show how patterndatabases can be applied on top of this technique and com-pare the different A* variants experimentally.

Authors

Keywords

  • partial expansion
  • pattern databases

Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
396304598948900447