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undergraduate thesis
Određivanje kombinacije zaključane brave primjenom strojnog učenja
2022. urn:nbn:hr:200:930957
Kramar, Filip
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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Kramar, F. (2022). Određivanje kombinacije zaključane brave primjenom strojnog 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:200:930957

Kramar, Filip. "Određivanje kombinacije zaključane brave primjenom strojnog učenja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:930957

Kramar, Filip. "Određivanje kombinacije zaključane brave primjenom strojnog učenja." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:930957

Kramar, F. (2022). 'Određivanje kombinacije zaključane brave primjenom strojnog učenja', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 08 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:930957

Kramar F. Određivanje kombinacije zaključane brave primjenom strojnog učenja [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 January 08] Available at: https://urn.nsk.hr/urn:nbn:hr:200:930957

F. Kramar, "Određivanje kombinacije zaključane brave primjenom strojnog učenja", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:930957

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Metadata
TitleOdređivanje kombinacije zaključane brave primjenom strojnog učenja
Title (english)Determining the combination of a lock using machine learning
AuthorFilip Kramar
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberEmmanuel Karlo Nyarko (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 country2022-09-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Cilj ovoga završnog rada je demonstrirati sve sposobnosti dubinskog i strojnog učenja pomoću alata za izradu virtualnih simulacija. Unity je game engine koji se koristi za izradu trodimenzionalnih (3D) i dvodimenzionalnih (2D) igara, interaktivnih simulacija itd. Simulacija je napravljena s dodatkom ML-Agents koji omogućuje primjenu strojnog učenja i obuku agenata za obavljanje određenih zadataka. Simulacija je stvorena kao dio testiranja mogućnosti u kojem se agenta podučavaja korištenjem strojnog učenja uz podršku. Unutar određenog vremena, agent mora pronaći nasumično generiranu kombinaciju brave. Agent je uspješno savladao zadani zadatak.
Abstract (english)
This final project aims to demonstrate all the potentials of deep learning and machine learning by employing tools for building virtual simulations. Three-dimensional (3D) and two-dimensional (2D) games, interactive simulations, and other experiences can all be made using the game engine Unity. The simulation was created with an add-on called ML-Agents, which enables the application of machine learning and the training of agents to carry out particular tasks. A simulation was created as part of the effort in which the agents are instructed using machine learning with support. Within a set amount of time, the agent has to figure out a randomly generated lock combination. The assigned task has been successfully completed by the agent
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:930957
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
Embargo expiration date: 2023-03-09
Terms of useLicence In copyright icon
Created on2022-10-13 12:44:46