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master's thesis
Primjena strojnog učenja u robotici
2019. urn:nbn:hr:190:123655
Kitić, Nikol
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Kitić, N. (2019). Primjena strojnog učenja u robotici (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:123655

Kitić, Nikol. "Primjena strojnog učenja u robotici." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:123655

Kitić, Nikol. "Primjena strojnog učenja u robotici." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:123655

Kitić, N. (2019). 'Primjena strojnog učenja u robotici', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:123655

Kitić N. Primjena strojnog učenja u robotici [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:190:123655

N. Kitić, "Primjena strojnog učenja u robotici", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:123655

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Metadata
TitlePrimjena strojnog učenja u robotici
Title (english)Machine learning applications in robotics
AuthorNikol Kitić
MentorIvan Štajduhar (mentor)
MentorDražen Brščić (mentor)
Committee memberSandi Ljubić (predsjednik povjerenstva)
Committee memberGoran Mauša (član povjerenstva)
Committee memberIvan Štajduhar (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2019-05-31, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad se bavi temom primjene strojnog uˇcenja u robotici, specifiˇcno ojaˇcanim uˇcenjem. Opisuje ideju ojaˇcanog uˇcenja, njegove najbitnije dijelove i glavne podjele algoritama u ojaˇcanom uˇcenju. U nastavku se opisuju testovi s tri razliˇcita algoritma iz skupine glumac-kritiˇcar na dvije razliˇcite okoline i usporeduju se rezultati. Dodatno se joˇs testira utjecaj funkcije nagradivanja na ponaˇsanje agenta. Za testove se koristi simulacijsko okruˇzenje robota iz paketa OpenAI Gym.
Abstract (english)
This paper deals with the subject of machine learning in robotics, specifically reinforcement learning. It describes the idea of reinforcement learning, its fundamental parts and the classification of reinforcement learning algorithms. Further it describes the tests performed with three different algorithms from the actor-critic group, on two different environments, and compares the results. The tests are performed in simulation robot environments from the package OpenAI Gym.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:123655
Study programmeTitle: Computer Engineering
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 conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-06-03 07:42:36