prikaz prve stranice dokumenta Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine
  Download
PDF 3.21 MB
undergraduate thesis
Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:477254
Stipančić, Damir
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Stipančić, D. (2020). Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine (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:200:477254

Stipančić, Damir. "Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine." 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:200:477254

Stipančić, Damir. "Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine." 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:200:477254

Stipančić, D. (2020). 'Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:477254

Stipančić D. Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:200:477254

D. Stipančić, "Pronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine", 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:200:477254

Metadata
TitlePronalaženje rješenja platformske igre primjenom strojnog učenje u okruženju Unreal Engine
Title (english)Finding a platform game solution using machine learning in the Unreal Engine environment
AuthorDamir Stipančić
MentorČaslav Livada (mentor)
Committee memberIvica Lukić (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberZdravko Krpić (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 country2020-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Ovaj rad pokriva temu strojnog učenja u sklopu Unreal Engine okruženja te su pokrivene teorijske i praktične osnove potrebne za izradu istog. Strojno učenje je područje istraživanja koje omogućava implementaciju raznih algoritama pomoću kojih se trenira umjetna inteligencija bez potrebe da se vrši direktno programiranje određenih ponašanja. Unreal Engine je skup programskih alata koji omogućavaju razvoj video igara, umjetne inteligencije, simulacija i sl. Korištenjem alata poput Blueprint-a, Blackboard-a, Behaviour Tree-a te samog sučelja za dizajn grafičkih komponenti kreirana je jednostavna platformska igra koja se riješila upravo pomoću strojnog učenja. Zadatak agenta je bio da otputuje na 2 različite lokacije u točno određenim trenutcima. Za razliku od Unity-a, Unreal Engine nema posebnu podršku za strojno učenje te je zbog toga za izradu čitavog rada bilo potrebno znanje o raznim alatima unutar Unreal Engine-a, strojnom učenju te posebno je trebalo proučiti Q learning i njegove razne implementacije.
Abstract (english)
This thesis covers the topic of machine learning in Unreal Engine and it covers the theoretical and practical basics needed to successfully complete it. Machine learning i san area of research that enables the implementation of various algorithms which are used to train artificial intelligence without the need to explicitly program specific behaviours. Unreal Engine is a collection of tools which enable the creation of video games, artificial intelligence, simulations and others. Using tools like Blueprints, Blackboard, Behaviour Tree and the graphical design editor a simple platformer game was created and then successfully completed using machine learning. The main goal for the agent was to move between 2 specific locations at specific times. Unlike Unity, Unreal Engine lacks a dedicated support for machine learning and because of that, the completion of this thesis required knowledge about the various tools available inside Unreal Engine and machine learning, especially the theory of Q learning and its various implementations.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:477254
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 on2020-12-07 10:59:42