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Multi-Agent Path Finding with Mutex Propagation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00341556" target="_blank" >RIV/68407700:21240/20:00341556 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aaai.org/ojs/index.php/ICAPS/issue/view/263" target="_blank" >https://www.aaai.org/ojs/index.php/ICAPS/issue/view/263</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-Agent Path Finding with Mutex Propagation

  • Original language description

    Mutex propagation is a form of efficient constraint propagation popularly used in AI planning to tightly approximate the reachable states from a given state. We utilize this idea in the context of Multi-Agent Path Finding (MAPF). When adapted to MAPF, mutex propagation provides stronger constraints for conflict resolution in Conflict-Based Search (CBS), a popular optimal MAPF algorithm, and provides it with the ability to identify and reason with symmetries in MAPF.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Intelligent Algorithms for Generalized Variants of Multi-Agent Path Finding</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling

  • ISBN

    978-1-57735-824-4

  • ISSN

    2334-0835

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    323-332

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    Nancy

  • Event date

    Oct 26, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article