Improved heuristics for multi-agent path finding with conflict-based search: Preliminary results

  • Jiaoyang Li
  • , Eli Boyarski
  • , Ariel Felner
  • , Hang Ma
  • , Sven Koenig

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

    7 Scopus citations

    Abstract

    Conflict-Based Search (CBS) and its enhancements are among the strongest algorithms for Multi-Agent Path Finding. Recent work introduced an admissible heuristic to guide the high-level search of CBS. In this work, we introduce two new admissible heuristics by reasoning about the pairwise dependency between agents. Empirically, CBS with both new heuristics significantly improves the success rate over CBS with the recent heuristic and reduces the number of expanded nodes and runtime by up to a factor of 50.

    Original languageEnglish
    Title of host publicationProceedings of the 12th International Symposium on Combinatorial Search, SoCS 2019
    EditorsPavel Surynek, William Yeoh
    PublisherAAAI press
    Pages182-183
    Number of pages2
    ISBN (Electronic)9781577358084
    StatePublished - 1 Jan 2019
    Event12th International Symposium on Combinatorial Search, SoCS 2019 - Napa, United States
    Duration: 16 Jul 201917 Jul 2019

    Publication series

    NameProceedings of the 12th International Symposium on Combinatorial Search, SoCS 2019

    Conference

    Conference12th International Symposium on Combinatorial Search, SoCS 2019
    Country/TerritoryUnited States
    CityNapa
    Period16/07/1917/07/19

    ASJC Scopus subject areas

    • Computer Networks and Communications

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