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master's thesis
Razvoj programskih agenata za složene videoigre
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:851621
Vuletić, Mislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vuletić, M. (2020). Razvoj programskih agenata za složene videoigre (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:851621

Vuletić, Mislav. "Razvoj programskih agenata za složene videoigre." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:851621

Vuletić, Mislav. "Razvoj programskih agenata za složene videoigre." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:851621

Vuletić, M. (2020). 'Razvoj programskih agenata za složene videoigre', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:851621

Vuletić M. Razvoj programskih agenata za složene videoigre [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 August 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:851621

M. Vuletić, "Razvoj programskih agenata za složene videoigre", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:851621

Metadata
TitleRazvoj programskih agenata za složene videoigre
Title (english)Programming software robots for complex video games
AuthorMislav Vuletić
MentorMirko Randić (mentor)
Committee memberMirko Randić (predsjednik povjerenstva)
Committee memberBruno Blašković (član povjerenstva)
Committee memberLuka Humski (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kako umjetna inteligencija postaje sve popularnija nove metode potpornog učenja se neprestano razvijaju. Istraživanje je fokusirano na povećanje apstrakcije zadržavajući ili poboljšavajući postignut rezultat i/ili vrijeme treniranja prošlih agenata. Nadalje, biblioteke strojnog učenja programskih jezika omogućuju izradu agenata umjetne inteligencije s lakoćom. Mogu li pojedinci razviti vlastite modele potpornog učenja bez mnogo domenskog znanja i trenirati agente na tipičnom igraćem računalu u razumnom vremenu te nadigrati ugrađene agente igara koji koriste metode pretraživanja prostora stanja i stabla odluka? U ovom radu istražujemo tehnike potpornog učenja, složenost igara te je dan opis izrade agenta potpornog učenja za pojednostavljenu verziju igre DOTA 2 koristeći programsko sučelje Project Breezy za interakciju s igrom.
Abstract (english)
As artificial intelligence is becoming increasingly more popular new methods and techniques of applying reinforcement learning are constantly emerging. Research focuses on abstraction improvement while retaining or even outperforming scores and/or learning speed in previously made agents. Furthermore, machine learning libraries for programming languages make it possible to build AI agents with ease. Can individuals build their own RL models without much domain knowledge and train agents on typical gaming hardware in a reasonable time frame to outperform pathfinding or decision tree agents found in most video games? In this paper we explore RL techniques, game complexity and build a RL agent for a simplified version of a popular video game DOTA 2 using Project Breezy to interact with the game client.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:851621
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 14:17:09