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Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10195088" target="_blank" >RIV/00216208:11320/13:10195088 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-642-45111-9_38" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-45111-9_38</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Monte Carlo Tree Search to Solve Planning Problems in Transportation Domains

  • Original language description

    Monte Carlo Tree Search (MCTS) techniques brought fresh breeze to the area of computer games where they significantly improved solving algorithms for games such as Go. MCTS also worked well when solving a real-life planning problem of the Petrobras company brought by the Fourth International Competition on Knowledge Engineering Techniques for Planning and Scheduling. In this paper we generalize the ideas of using MCTS techniques in planning, in particular for transportation problems. We highlight the difficulties of applying MCTS in planning, we show possible approaches to overcome these difficulties, and we propose a particular method for solving transportation problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F1287" target="_blank" >GAP103/10/1287: PlanEx: Bridging Planning and Execution</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • 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 12th Mexican International Conference on Artificial Intelligence (MICAI 2013), Part II

  • ISBN

    978-3-642-45110-2

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    15

  • Pages from-to

    435-449

  • Publisher name

    Springer

  • Place of publication

    Heidelberg, Germany

  • Event location

    Mexico City, Mexico

  • Event date

    Sep 24, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article