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undergraduate thesis
Primjena podržanog učenja za automatsko igranje igara
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:251759
Rakovac, Daniel
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rakovac, D. (2018). Primjena podržanog učenja za automatsko igranje igara (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:251759

Rakovac, Daniel. "Primjena podržanog učenja za automatsko igranje igara." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:251759

Rakovac, Daniel. "Primjena podržanog učenja za automatsko igranje igara." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:251759

Rakovac, D. (2018). 'Primjena podržanog učenja za automatsko igranje igara', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:251759

Rakovac D. Primjena podržanog učenja za automatsko igranje igara [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:251759

D. Rakovac, "Primjena podržanog učenja za automatsko igranje igara", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:251759

Metadata
TitlePrimjena podržanog učenja za automatsko igranje igara
Title (english)Reinforcement Learning for Automatic Game Playing
AuthorDaniel Rakovac
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberMartin Tutek (član povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom je radu obrađeno podržano učenje kao vrsta strojnog učenja čiji je cilj maksimizirati ukupnu nagradu. Objašnjena je uloga neuronskih mreža u podržanom učenju te proces treniranja neuronskih mreža. U ovom se radu primjena podržanog učenja fokusirala na automatskom igranju igara. Za početak je odabrana jednostavna igra s malim brojem stanja, nazvana FrozenLake, gdje je automatsko igranje ostvareno pomoću algoritma SARSA i Q-učenje sa spremanjem Q-vrijednosti u strukturu nazvanu Q-tablica. Kao primjer složenije igre je odabrana igra FlappyBirds s opcijom da su prepreke pomične. Problem je riješen pomoću Q-učenja aproksimacijom Q-vrijednosti pomoću neuronske mreže. Rezultati algoritama su grafički prikazani i uspoređeni.
Abstract (english)
This paper describes reinforcement learning as a type of machine learning aimed at maximizing total reward. It explains the role of neural networks in reinforcement learning and their training process. To start with, a simple game with a small number of states was chosen, named FrozenLake, where automatic game playing was accomplished with the help of SARSA algorithm and Q-learning where Q-values were stored in a structure called a Q-table. As an example of a more complex game, the FlappyBirds game was selected with the option to have moving obstacles. The problem was solved with the help of Q-learning where Q-values were approximated using neural network. The results of algorithms are graphically displayed and discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:251759
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 on2019-03-14 00:21:10