Online Multi-Agent Path Finding: New Results.

Jonathan Morag, Ariel Felner, Roni Stern, Dor Atzmon, Eli Boyarski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Online MAPF extends the classical Multi-Agent Path Find ingproblem (MAPF) by considering a more realistic problem in which new agents may appear over time. As online solvers arenot aware of which agents will join in the future, the notion of snapshot-optimal was defined, where only current knowledge is considered. In this paper, we perform an extensive com-parison between oracle-optimal solutions (where the solver is preinformed of future agents), snapshot-optimal solutions, and suboptimal solutions obtained by prioritised planning
Original languageEnglish
Title of host publicationProceedings of the Fifteenth International Symposium on Combinatorial Search (SoCS2022)229
Pages229-233
Number of pages5
StatePublished - 2022

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