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Predicting the Winner in Two Player StarCraft Games

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dc.conference.dateJune, 24th, 2015
dc.conference.placeBarcelona
dc.conference.titleCongreso de la Sociedad Española para las Ciencias del Videojuego
dc.contributor.authorSánchez Ruiz-Granados, Antonio Alejandro
dc.date.accessioned2023-06-19T16:04:32Z
dc.date.available2023-06-19T16:04:32Z
dc.date.issued2015-01
dc.description.abstractIn this paper we compare different machine learning algorithms to predict the outcome of 2 player games in StarCraft, a wellknown Real-Time Strategy (RTS) game. In particular we discuss the game state representation, the accuracy of the prediction as the game progresses, the size of the training set and the stability of the predictions.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/35948
dc.identifier.officialurlhttp://ceur-ws.org/Vol-1394/paper_3.pdf
dc.identifier.urihttps://hdl.handle.net/20.500.14352/36138
dc.language.isospa
dc.page.final35
dc.page.initial24
dc.relation.projectIDTIN2014-55006-R
dc.rights.accessRightsopen access
dc.subject.cdu004.928
dc.subject.cdu004.94
dc.subject.keywordPrediction
dc.subject.keywordStarCraft
dc.subject.keywordLinear and Quadratic Discriminant Analysis
dc.subject.keywordSupport Vector Machines
dc.subject.keywordk-Nearest Neighbors
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titlePredicting the Winner in Two Player StarCraft Games
dc.typeconference paper
dspace.entity.typePublication
relation.isAuthorOfPublication90c1631c-e546-4b8e-b5f2-c12ab516957c
relation.isAuthorOfPublication.latestForDiscovery90c1631c-e546-4b8e-b5f2-c12ab516957c

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