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dc.contributor.authorGomis Moreno, Ivan
dc.contributor.otherSales, Jorge
dc.contributor.otherUniversitat Jaume I. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2024-06-20T09:21:24Z
dc.date.available2024-06-20T09:21:24Z
dc.date.issued2024-06-05
dc.identifier.urihttp://hdl.handle.net/10234/207871
dc.descriptionTreball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2023/2024ca_CA
dc.description.abstracthis document presents the Final Degree Work report of Iván Gomis Moreno in Bache lor’s Degree in Video Game Design and Development. The main concept is making a tower attack video game using Unity, employing the various systems that this game engine provides for the creation of non-playable characters, specifically, ML Agent Libraries. The AI implementation will possess the capability to adapt and learn based on its current conditions and interactions with the player, enabling it to respond to specific events variably, thus achieving unpredictable behaviours. Furthermore, several behaviours, actions, and systems developed for the enemy’s creation can be repurposed across various video game genres.ca_CA
dc.format.extent64 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-sa/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.subjectUnityca_CA
dc.subjectartificial intelligenceca_CA
dc.subjecttower defenseca_CA
dc.subjectvideo gameca_CA
dc.subjectML-Agentca_CA
dc.titleIntegration of Machine Learning in the Tower Defense subgenre of video gamesca_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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