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dc.contributor.authorJouandeau, Nicolas
dc.contributor.authorCazenave, Tristan
dc.date.accessioned2020-06-25T11:55:16Z
dc.date.available2020-06-25T11:55:16Z
dc.date.issued2014
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20900
dc.language.isoenen
dc.subjectRoot Nodeen
dc.subjectGroup Nodeen
dc.subjectStochastic Gameen
dc.subjectGood Nodeen
dc.subjectClassic Nodeen
dc.subject.ddc006.3en
dc.titleSmall and large MCTS playouts applied to Chinese Dark Chess stochastic gameen
dc.typeCommunication / Conférence
dc.description.abstractenMonte-Carlo Tree Search is a powerful paradigm for deterministic perfect-information games. We present various changes applied to this algorithm to deal with the stochastic game Chinese Dark Chess. We experimented with group nodes and chance nodes using various configurations: with different playout policies, with different playout lengths, with true or estimated wins. Results show that extending playout length over the real draw condition is beneficial to group nodes and to chance nodes. It also shows that using an evaluation function can reduce the number of draw games with group nodes and can be increased with chance nodes.en
dc.identifier.citationpages78-89en
dc.relation.ispartoftitleECAI Computer Games Workshopen
dc.relation.ispartofeditorCazenave, Tristan
dc.relation.ispartofeditorWinands, Mark H. M.
dc.relation.ispartofeditorBjörnsson, Yngvi
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpages163en
dc.relation.ispartofurl10.1007/978-3-319-14923-3en
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-02317151en
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-3-319-14923-3en
dc.relation.conftitle3rd Workshop on Computer Games, CGW 2014, Held in Conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014en
dc.relation.confdate2014-08
dc.relation.confcityPragueen
dc.relation.confcountryCzech Republicen
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-14923-3_6en
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2020-06-25T11:50:50Z
hal.person.labIds
hal.person.labIds989


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