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undergraduate thesis
Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja
2020. urn:nbn:hr:200:399216
Hodak, David
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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Hodak, D. (2020). Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja (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:200:399216

Hodak, David. "Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:399216

Hodak, David. "Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:399216

Hodak, D. (2020). 'Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 06 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:399216

Hodak D. Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2025 January 06] Available at: https://urn.nsk.hr/urn:nbn:hr:200:399216

D. Hodak, "Napredni mehanizmi percepcije u igri traženja na temelju dubokog učenja", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:399216

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Metadata
TitleNapredni mehanizmi percepcije u igri traženja na temelju dubokog učenja
Title (english)Advanced perception mechanisms in a hide and seek game based on deep learning
AuthorDavid Hodak
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberDamir Blažević (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2020-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Cilj ovog završnog rada je pokazati mogućnosti koje donose strojno i duboko učenje kada ih se kombinira s moćnim alatima za stvaranje virtualnih simulacija. Ovo je omogućeno kroz Unity game engine koji se koristi za izradu simulacija i razvoj 2D i 3D video igara te ML-Agents dodatak koji sadrži algoritme za treniranje inteligentnih agenata. Opisani su osnovni principi i algoritmi dubokog učenja uz pomoć kojih agent percipira okolinu oko sebe i uči rješavati određeni zadatak. U sklopu rada izrađena je simulacija u kojoj agent pokušava pronaći skriveni predmet u određenom vremenu koji se postavi na novo nasumično generirano mjesto nakon pronalaska. Agent uči korištenjem strojnog učenja s potporom. Primjenjujući odgovarajuću implementaciju i parametre agent je uspješno naučio svladati dani problem.
Abstract (english)
Purpose of this bachelor’s thesis is to show possibilities of machine learning and deep learning in combination with powerful tools which are used in making virtual simulations. This is enabled through Unity game engine, a software which is used for developing 2D and 3D video games and simulations, and ML-agents plugin which contains algorithms for training intelligent agents. Basic principles and algorithms of deep learning are described. Agent uses those methods for perception of environment and solving certain tasks. Within thesis, simulation is created in which agent is trying to find hidden item by using reinforcement machine learning. If agent finds item, new place for item is randomly generated. Also, he must complete task in certain time. With the right implementation and parameters, agent solved the task successfully.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:399216
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 on2020-11-16 13:47:52