Sub-Optimal SAT-Based Approach to Multi-Agent Path-Finding Problem

Authors

  • Pavel Surynek Czech Technical University
  • Ariel Felner Ben Gurion University
  • Roni Stern Ben Gurion University
  • Eli Boyarski Ben Gurion University

Abstract

In multi-agent path finding (MAPF) the task is to find nonconflicting paths for multiple agents. In this paper we focus on finding suboptimal solutions for MAPF for the sum-of-costs variant. Recently, a SAT-based approached was developed to solve this problem and proved beneficial in many cases when compared to other search-based solvers. In this paper, we present SAT-based unbounded- and bounded-suboptimal algorithms and compare them to relevant algorithms. Experimental results show that in many case the SAT-based solver significantly outperforms the search-based solvers.

Downloads

Published

2021-09-01