prikaz prve stranice dokumenta Application of a Reinforcement Learning Algorithm in the Development of Computer Games
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undergraduate thesis
Application of a Reinforcement Learning Algorithm in the Development of Computer Games
2023. urn:nbn:hr:195:429070
Linić, Marino
University of Rijeka
Faculty of Informatics and Digital Technologies

Cite this document

Linić, M. (2023). Application of a Reinforcement Learning Algorithm in the Development of Computer Games (Undergraduate thesis). Rijeka: University of Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:195:429070

Linić, Marino. "Application of a Reinforcement Learning Algorithm in the Development of Computer Games." Undergraduate thesis, University of Rijeka, 2023. https://urn.nsk.hr/urn:nbn:hr:195:429070

Linić, Marino. "Application of a Reinforcement Learning Algorithm in the Development of Computer Games." Undergraduate thesis, University of Rijeka, 2023. https://urn.nsk.hr/urn:nbn:hr:195:429070

Linić, M. (2023). 'Application of a Reinforcement Learning Algorithm in the Development of Computer Games', Undergraduate thesis, University of Rijeka, accessed 07 May 2024, https://urn.nsk.hr/urn:nbn:hr:195:429070

Linić M. Application of a Reinforcement Learning Algorithm in the Development of Computer Games [Undergraduate thesis]. Rijeka: University of Rijeka; 2023 [cited 2024 May 07] Available at: https://urn.nsk.hr/urn:nbn:hr:195:429070

M. Linić, "Application of a Reinforcement Learning Algorithm in the Development of Computer Games", Undergraduate thesis, University of Rijeka, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:195:429070

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Metadata
TitleApplication of a Reinforcement Learning Algorithm in the Development of Computer Games
Title (croatian)Primjena algoritma učenja s podrškom u razvoju računalnih igara
AuthorMarino Linić
MentorMarina Ivašić-Kos (mentor)
Committee memberSanda Martinčić-Ipšić (predsjednik povjerenstva)
Committee memberMiran Pobar (član povjerenstva)
Committee memberMarina Ivašić-Kos (član povjerenstva)
GranterUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Rijeka
Defense date and country2023-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
In this paper, reinforcement learning was examined by creating a Python puzzle video game and implementing a Q-learning algorithm. Having full control of the development process, it was possible to track, explain, and visualize every step of the algorithm. Along with the theoretical background, this thesis serves as an introductory paper to understand the inner workings of simple machine—or reinforcement—learning algorithms while applying them in video game environments. Reinforcement learning is an industry standard tool in the development of video games, and having a firm grasp of the methods used to implement such tools is highly pertinent within the field. I also analyze how tweaking various parameters of the Q-learning formula yields different degrees of optimization. An attempt is made to find a more optimal parameter combination, which itself is contextually dependent on the environment the agent is training in.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:195:429070
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-09-26 15:48:30