Deep Learning Techniques Applied to Videogames
Metadata
Show full item recordcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71324
comunitat-uji-handle3:10234/169451
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Title
Deep Learning Techniques Applied to VideogamesAuthor (s)
Tutor/Supervisor; University.Department
Montoliu Colás, Raúl; Universitat Jaume I. Departament d'Enginyeria i Ciència dels ComputadorsDate
2021-07-14Publisher
Universitat Jaume IAbstract
This document is a reflection of the work done as a final degree project.
In summary, the work has consisted of research on techniques capable of generating
and simulating artificial intelligence in general, and in ... [+]
This document is a reflection of the work done as a final degree project.
In summary, the work has consisted of research on techniques capable of generating
and simulating artificial intelligence in general, and in particular, learning to use deep
learning techniques through the use of neural networks.
The project has been divided into three different parts: research about artificial intelligence and its techniques, testing of existing examples in order to learn how to develop
related techniques, and application of the previous concepts to a specific topic related
to videogames using the previous techniques.
Thus, throughout the report each part of the process will be explained in detail following the above order and emphasizing the most important points, starting with the
technical explanation of what a neural network is and what it is used for; following with
the different examples that have been followed to understand and make use of them; and
ending with the development process of a deep learning project capable of estimating
the total duration of a game in order to evaluate whether the pairing of the players that
form it has been correct or not. [-]
Subject
Description
Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2020/2021
Type
info:eu-repo/semantics/bachelorThesisRights
info:eu-repo/semantics/openAccess