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Creating Action Heuristics for General Game Playing Agents

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU136052" target="_blank" >RIV/00216305:26230/16:PU136052 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-39402-2_11" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-39402-2_11</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-39402-2_11" target="_blank" >10.1007/978-3-319-39402-2_11</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Creating Action Heuristics for General Game Playing Agents

  • Original language description

    Monte-Carlo Tree Search (MCTS) is the most popular search algorithm used in General Game Playing (GGP) nowadays mainly because of its ability to perform well in the absence of domain knowledge. Several approaches have been proposed to add heuristics to MCTS in order to guide the simulations. In GGP those approaches typically learn heuristics at runtime from the results of the simulations. Because of peculiarities of GGP, it is preferable that these heuristics evaluate actions rather than game positions. We propose an approach that generates heuristics that estimate the usefulness of actions by analyzing the game rules as opposed to the simulation results. We present results of experiments that show the potential of our approach.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computer Games, CGW 2015

  • ISBN

  • ISSN

    1865-0929

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    149-164

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlín

  • Event location

    Buenos Aires, Argentina

  • Event date

    Jun 26, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000385788000011