mapf.info

webmaster: Sven Koenig

Learn all about Multi-Agent Path Finding (MAPF)

Publication

P. Surynek, A. Felner, R. Stern and E. Boyarski. Modifying Optimal SAT-Based Approach to Multi-Agent Path-Finding Problem to Suboptimal Variants. In Proceedings of the Symposium on Combinatorial Search (SoCS), pages 169-170, 2017.


Abstract: In multi-agent path finding (MAPF) the task is to find non-conflicting paths for multiple agents. Recently, a SAT-based approach was developed to solve this problem and proved beneficial in many cases when compared to other search-based solvers. In this paper, we introduce SAT-based unbounded- and bounded-suboptimal algorithms and compare them to relevant search-based algorithms.


Download the paper in pdf.


(last updated in 2019)