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dc.contributor.authorVillar Méndez, Jesús
dc.contributor.otherTorres Sospedra, Joaquín
dc.date.accessioned2021-10-20T10:06:21Z
dc.date.available2021-10-20T10:06:21Z
dc.date.issued2021-07-15
dc.identifier.urihttp://hdl.handle.net/10234/195108
dc.descriptionTreball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2020/2021ca_CA
dc.description.abstractThis document presents the project report of the Video Games Design and Development Degree Final project by Jesús Villar Méndez. It consists on an HTML5 and Javascript program that allows the user to solve randomly generated maps of islands using a pathplanning algorithm to solve them and a pix2pix neural network that has been trained with the data set generated by the program. The program also allows file imports in order to train more specific cases and a download function. Besides that, the project also integrates some CSS style modifications that provides a better looking result and makes the user experience far more pleasant.ca_CA
dc.format.extent68 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherUniversitat Jaume Ica_CA
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/ca_CA
dc.subjectGrau en Disseny i Desenvolupament de Videojocsca_CA
dc.subjectGrado en Diseño y Desarrollo de Videojuegosca_CA
dc.subjectBachelor's Degree in Video Game Design and Developmentca_CA
dc.titleConvolutional neural networks. Can They help us solve pathplanning efficiently?ca_CA
dc.typeinfo:eu-repo/semantics/bachelorThesisca_CA
dc.educationLevelEstudios de Gradoca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA


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