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undergraduate thesis
Strojno učenje na temelju logike i vjerojatnosti
2017. urn:nbn:hr:200:020689
Zovak, Trpimir
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Core Courses
Chair of Mathematics, Physics and Mechanical Engineering

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Zovak, T. (2017). Strojno učenje na temelju logike i vjerojatnosti (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:020689

Zovak, Trpimir. "Strojno učenje na temelju logike i vjerojatnosti." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:020689

Zovak, Trpimir. "Strojno učenje na temelju logike i vjerojatnosti." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:020689

Zovak, T. (2017). 'Strojno učenje na temelju logike i vjerojatnosti', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 01 October 2023, https://urn.nsk.hr/urn:nbn:hr:200:020689

Zovak T. Strojno učenje na temelju logike i vjerojatnosti [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2023 October 01] Available at: https://urn.nsk.hr/urn:nbn:hr:200:020689

T. Zovak, "Strojno učenje na temelju logike i vjerojatnosti", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:020689

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Metadata
TitleStrojno učenje na temelju logike i vjerojatnosti
Title (english)Machine learning based on logic and probability
AuthorTrpimir Zovak
MentorTomislav Rudec (mentor)
MentorIvana Hartmann Tolić (mentor)
Committee memberTomislav Rudec (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Core Courses)
(Chair of Mathematics, Physics and Mechanical Engineering)
Osijek
Defense date and country2017-07-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electromechanical Engineering
Abstract
Cilj ovog ovog rada je istražiti i pokazati načine primjene strojnog učenja u svrhu modeliranja Texas Hold’em Poker agenta koji će igrati na zadovoljavajućoj razini. U prvom poglavlju rada objašnjen je pojam strojnog učenja zajedno s njegovim granama i metodama rješavanja problema određene prirode. Texas Hold’em Poker je kompleksna igra jednostavnih pravila što je pokazano u drugom poglavlju. Objašnjeni su najvažniji koncepti Texas Hold’em Pokera čije znanje može biti primjenjeno kako bi model igrača bio što efikasniji. Konačno, navedeni su neki od dosadašnjih pokušaja rješavanja ovog problema zajedno s načinom njegovog rješavanja i mjerom uspjeha, tj. rezultatima.
Abstract (english)
The aim of this paper is to explore and demonstrate how to use machine learning in order to simulate/ make a model of a Texas Hold'em Poker agent that will play at a satisfactory level. In the first chapter of the paper, the concept of machine learning is explained, along with its branches and methods of solving different problems. Texas Hold'em Poker is a complex game with simple rules, as it is shown in the second chapter. Furthermore, the most important concepts of Texas Hold'em Poker are explained. The knowledge of these concepts can be applied to make a model of the player more efficient. Finally, some of the past attempts to solve this problem are mentioned together with the way it is solved and the measure of success, i.e. the results
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:020689
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
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
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-09-15 13:38:34