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master's thesis
Primjena umjetne inteligencije u računalnoj igri Pacman
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:416134
Dodig, Krešimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Dodig, K. (2020). Primjena umjetne inteligencije u računalnoj igri Pacman (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:416134

Dodig, Krešimir. "Primjena umjetne inteligencije u računalnoj igri Pacman." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:416134

Dodig, Krešimir. "Primjena umjetne inteligencije u računalnoj igri Pacman." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:416134

Dodig, K. (2020). 'Primjena umjetne inteligencije u računalnoj igri Pacman', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:416134

Dodig K. Primjena umjetne inteligencije u računalnoj igri Pacman [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:416134

K. Dodig, "Primjena umjetne inteligencije u računalnoj igri Pacman", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:416134

Metadata
TitlePrimjena umjetne inteligencije u računalnoj igri Pacman
Title (english)Application of AI in Computer Game Pacman
AuthorKrešimir Dodig
MentorTomislav Burić (mentor)
Committee memberTomislav Burić (predsjednik povjerenstva)
Committee memberIlko Brnetić (član povjerenstva)
Committee memberMate Puljiz (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Testiranje umjetne inteligencije u računalnim igrama je dobar pokazatelj koliko je ona zapravo napredovala. U ovom radu bavimo se igrom Pacman jer se ona pokazala kao iznimno zahtjevna za algoritme umjetne inteligencije. Za učenje i svladavanje igre Pacman, koristili smo varijaciju Q-učenja uz pristup koji zovemo Hibridna Arhitektura Nagrada (HRA). Ideja HRA je da rastavimo problem na manje probleme te imamo posebnog agenta za učenje za svaki od tih manjih problema. Ovaj pristup se pokazao odličan za Pacmana te smo uspješno svladali rješavanje (pobjeđivanje) igre.
Abstract (english)
Testing artificial intelligence in computer games is a good indicator of how far it has actually progressed. In this paper, we deal with the Pacman game because it has proven to be extremely demanding on artificial intelligence algorithms. To learn and master the Pacman game, we used a variation of Q-learning with an approach we call Hybrid Reward Architecture (HRA). The idea of HRA is to break down a problem into smaller problems and we have a special learning agent for each of those smaller problems. This approach proved to be great for Pacman and we successfully mastered solving (winning) the game.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:416134
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 09:55:39