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Learn all about Multi-Agent Path Finding (MAPF)

Publication

J. Svancara, M. Vlk, R. Stern, D. Atzmon and R. Bartak. Online Multi-Agent Pathfinding. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pages (in print), 2019.


Abstract: Multi-agent pathfinding (MAPF) is the problem of moving a group of agents to a set of target destinations while avoiding collisions. In this work, we study the online version of MAPF where new agents appear over time. Several variants of online MAPF are defined and analyzed theoretically, showing that it is not possible to create an optimal online MAPF solver. Nevertheless, we propose effective online MAPF algorithms that balance solution quality, runtime, and the number of plan changes an agent makes during execution.


Download the paper in pdf.


(last updated in 2019)