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master's thesis
Izrada 3D-igre s računalno upravljanim igračima
2017. urn:nbn:hr:168:000341
Badak, Silvestar
University of Zagreb
Faculty of Electrical Engineering and Computing

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Badak, S. (2017). Izrada 3D-igre s računalno upravljanim igračima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:000341

Badak, Silvestar. "Izrada 3D-igre s računalno upravljanim igračima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:000341

Badak, Silvestar. "Izrada 3D-igre s računalno upravljanim igračima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:000341

Badak, S. (2017). 'Izrada 3D-igre s računalno upravljanim igračima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:000341

Badak S. Izrada 3D-igre s računalno upravljanim igračima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 October 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:000341

S. Badak, "Izrada 3D-igre s računalno upravljanim igračima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:000341

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Metadata
TitleIzrada 3D-igre s računalno upravljanim igračima
Title (english)Development of 3D Game with Computer-Controlled Players
AuthorSilvestar Badak
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberSiniša Srbljić (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Algoritam SARSA-lambda pripada skupini algoritama potpornog učenja, grani strojnog učenja, čija je svrha da agenti nauče samostalno obavljati neki zadatak. Algoritmom SARSA-lambda, agenti uče Q-vrijednosti za parove stanje-akcije te pomoću tih vrijednosti procjenjuju koju je akciju dobro obaviti u nekom stanju. Na temelju tih Q-vrijednosti, agent uporabom politike izabire jednu od akcija kada se nalaze u određenom stanju. Akcije, koje se mogu odabrati u nekom stanju, ovise o trenutnoj strategiji koja se primjenjuje.
Abstract (english)
SARSA-lambda algorithm is a reinforcement learning algorithm, type of machine learning. Goal of the algorithm is to learn agents how to perform tasks independently, without human supervision. In a SARSA-lambda algorithm, agents learn Q-values for state-action pairs and estimate which action is good in which state. Taking into account Q-values, agents using some policy choose one action when they are in the given state. Actions which agent can perform in each state depend on current strategy that is in the use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:000341
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
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Created on2019-03-13 18:44:01