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undergraduate thesis
Podržano učenje: Alphastar
2019. urn:nbn:hr:137:966409
Balen, Ivan
University of Pula
Faculty of Informatics in Pula

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Balen, I. (2019). Podržano učenje: Alphastar (Undergraduate thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:966409

Balen, Ivan. "Podržano učenje: Alphastar." Undergraduate thesis, University of Pula, 2019. https://urn.nsk.hr/urn:nbn:hr:137:966409

Balen, Ivan. "Podržano učenje: Alphastar." Undergraduate thesis, University of Pula, 2019. https://urn.nsk.hr/urn:nbn:hr:137:966409

Balen, I. (2019). 'Podržano učenje: Alphastar', Undergraduate thesis, University of Pula, accessed 02 November 2024, https://urn.nsk.hr/urn:nbn:hr:137:966409

Balen I. Podržano učenje: Alphastar [Undergraduate thesis]. Pula: University of Pula; 2019 [cited 2024 November 02] Available at: https://urn.nsk.hr/urn:nbn:hr:137:966409

I. Balen, "Podržano učenje: Alphastar", Undergraduate thesis, University of Pula, Pula, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:137:966409

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Metadata
TitlePodržano učenje: Alphastar
Title (english)Reinforcement Learning: Alphastar
AuthorIvan Balen
MentorDarko Etinger (mentor)
Committee memberGiorgio Sinković (predsjednik povjerenstva)
Committee memberDarko Etinger (član povjerenstva)
Committee memberNikola Tanković (član povjerenstva)
Committee memberMario Radovan (član povjerenstva)
GranterUniversity of Pula
(Faculty of Informatics in Pula)
Pula
Defense date and country2019-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Cilj ovog rada je bio prikaz funkcioniranja strojnog podržanja učenja i umjetne inteligencije, njegov opis, njegovi ulazi i izlazi i postignuća te određene mogućnosti. Opisani su najkorisniji alati koji se mogu koristiti i različite metode koje nadopunjuju isti. Opisane su prednosti i mane svake kategorije i podkategorije algoritama namijenjenih za strojno učenje,opisana je njihova struktura rada i njihove komponente. Kroz rad strojnog podržanja učenja, pokazalo se da je proces razvoja kompleksan, te zahtjeva određene resurse od strane razvojnog tima.
Abstract (english)
The aim of this thesis was to present the functioning of machine reinforcement learning and artificial intelligence, its description, its inputs and outputs, and achievements and specific capabilities. The most useful tools that can be used and the various methods that complement the same are described. The advantages and disadvantages of each category and subcategories of machine learning algorithms are described, their work structure and their components are described. Through the work of machine reinforcement learning, the development process has proven to be complex and requires some resources from the development team.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:966409
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-09-24 19:42:29