TY - JOUR AU - Hu, Shuli AU - Harabor, Daniel D. AU - Gange, Graeme AU - Stuckey, Peter J. AU - Sturtevant, Nathan R. PY - 2022/06/13 Y2 - 2024/03/29 TI - Multi-Agent Path Finding with Temporal Jump Point Search JF - Proceedings of the International Conference on Automated Planning and Scheduling JA - ICAPS VL - 32 IS - 1 SE - Main Track DO - 10.1609/icaps.v32i1.19798 UR - https://ojs.aaai.org/index.php/ICAPS/article/view/19798 SP - 169-173 AB - Temporal Jump Point Search (JPST) is a recently introduced algorithm for grid-optimal pathfinding among dynamic temporal obstacles. In this work we consider JPST as a low-level planner in Multi-Agent Path Finding (MAPF). We investigate how the canonical ordering of JPST can negatively impact MAPF performance and we consider several strategies which allow us to overcome these limitations. Experiments show our new CBS/JPST approach can substantially improve on CBS/SIPP, a contemporary and leading method from the area. ER -