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SoCS 2022

Multi-agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way? (Extended Abstract)

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

Abstract

This paper extends a study on improving the performance of reduction-based solvers for the problem of multi-agent pathfinding. The task is to navigate a set of agents in a graph without collisions. Solvers that reduce this problem to other formalisms often have issues scaling to larger instances in terms of the graph size. A previous study suggests that pruning the graph of most vertices based on a randomly chosen shortest path for each agent. In this paper, we study the effect of different choices of these paths.

Authors

Keywords

  • Problem Compilation
  • Bounding And Pruning Techniques
  • Combinatorial Optimization

Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
85200505991466593
v2026.09.13