SoCS 2022
Multi-agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way? (Extended Abstract)
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
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Context
- Venue
- International Symposium on Combinatorial Search
- Archive span
- 2010-2024
- Indexed papers
- 598
- Paper id
- 85200505991466593