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dc.contributor.authorNegrevergne, Benjamin
dc.contributor.authorCazenave, Tristan
dc.date.accessioned2019-11-13T11:28:02Z
dc.date.available2019-11-13T11:28:02Z
dc.date.issued2017
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20218
dc.language.isoenen
dc.subjectcomputer gamesen
dc.subjectartificial intelligenceen
dc.subject.ddc006.3en
dc.titleDistributed Nested Rollout Policy for Same Gameen
dc.typeCommunication / Conférence
dc.description.abstractenNested Rollout Policy Adaptation (NRPA) is a Monte Carlo search heuristic for puzzles and other optimization problems. It achieves state-of-the-art performance on several games including SameGame. In this paper, we design several parallel and distributed NRPA-based search techniques, and we provide a number of experimental insights about their execution. Finally, we use our best implementation to discover 15 better scores for 20 standard SameGame boards.en
dc.identifier.citationpages108-120en
dc.relation.ispartoftitleComputer Games, Revised Selected Papersen
dc.relation.ispartofeditorCazenave, Tristan
dc.relation.ispartofeditorWinands, Mark H.M.
dc.relation.ispartofeditorSaffidine, Abdallah
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpublcityChamen
dc.relation.ispartofdate2017
dc.relation.ispartofurl10.1007/978-3-319-75931-9en
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-3-319-75930-2en
dc.relation.conftitle6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017en
dc.relation.confdate2017-08
dc.relation.confcityMelbourne, VICen
dc.relation.confcountryAustraliaen
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-75931-9_8en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2019-11-13T11:23:11Z
hal.person.labIds989
hal.person.labIds989
hal.identifierhal-02361317*


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