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undergraduate thesis
Podržano učenje u igrama s kartama
2022. urn:nbn:hr:168:212744
Budimir-Bekan, Borna
University of Zagreb
Faculty of Electrical Engineering and Computing

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Budimir Bekan, B. (2022). Podržano učenje u igrama s kartama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:212744

Budimir Bekan, Borna. "Podržano učenje u igrama s kartama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:212744

Budimir Bekan, Borna. "Podržano učenje u igrama s kartama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:212744

Budimir Bekan, B. (2022). 'Podržano učenje u igrama s kartama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:212744

Budimir Bekan B. Podržano učenje u igrama s kartama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:212744

B. Budimir Bekan, "Podržano učenje u igrama s kartama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:212744

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Metadata
TitlePodržano učenje u igrama s kartama
Title (english)Reinforcement Learning in Card Games
AuthorBorna Budimir-Bekan
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberFranjo Matković (član povjerenstva)
Committee memberAlma Traživuk (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Fokus ovoga rada je istražiti primjenjivost algoritama podržanog učenja na kartaškim igrama. Rad sadrži kratki uvod u podržano učenje i pojašnjava najčešće korištene algoritme u podržanom učenju. Na primjeru kartaške igre "Bela" je izgrađen simulacijski okvir s mogućnostima testiranja raznih agenata. U sklopu simulacije je implementiran agent koji koristi q učenje za razvijanje politike. Navedeni agent je testiran u velikom broju epizoda protiv ostalih agenata nakon čega je provedena analiza uspješnosti agenta.
Abstract (english)
The focus of this paper is to investigate the applicability of reinforcement learning algorithms on card games. The paper contains a brief introduction to reinforcement learning and explains the most common algorithms used in it. A simulation framework for the card game "Bela" was built with the possibility of testing various agents. A machine learning agent, that uses q learning for policy building was also developed. The said agent was tested in a large number of episodes against other agents after which its performance was analyzed in detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:212744
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 09:51:22