Učenje nevronske mreže za igranje preproste arkadne igre : diplomsko delo

Polner, Mitja

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Title:	Učenje nevronske mreže za igranje preproste arkadne igre : diplomsko delo
Authors:	ID Polner, Mitja (Author) ID Strnad, Damjan (Mentor) More about this mentor... ID Kohek, Štefan (Comentor)
Files:	VS_Polner_Mitja_2022.pdf (3,00 MB) MD5: 10D840BC6DDC9A8F4DC434708F1E24BB
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	V diplomskem delu smo izdelali nevronsko mrežo in preprosto arkadno videoigro Bomberman, katero se je nevronska mreža naučila igrati. Videoigro smo izdelali s pomočjo odprtokodnega ogrodja LibGdx v programskem jeziku Java. Implementirali smo lastno nevronsko mrežo in nevronsko mrežo s knjižnico PyTorch. Obe mreži se učita po principu okrepitvenega učenja. Rezultate lastne implementacije nevronske mreže smo primerjali z rezultati nevronske mreže implementirane s knjižnico PyTorch. Ugotovili smo, da so si rezultati obeh mrež zelo podobni. Nevronska mreža po tridesetih minutah učenja uspe počistiti polovico vseh uničljivih zidov.
Keywords:	arkadna videoigra, Bomberman, nevronska mreža, okrepitveno učenje, globoka Q-mreža
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[M. Polner]
Year of publishing:	2022
Number of pages:	1 spletni vir (1 datoteka PDF (X, 48 f.))
PID:	20.500.12556/DKUM-82857
UDC:	004.8:004.94(043.2)
COBISS.SI-ID:	139102979
Publication date in DKUM:	24.10.2022
Views:	834
Downloads:	99
Metadata:
Categories:	KTFMB - FERI
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	06.09.2022

Secondary language

Language:	English
Title:	Teaching a neural network to play a simple arcade game
Abstract:	The thesis aimed to create a neural network and a simple arcade video game called Bomberman that the neural network would learn to play. The video game was created using the open-source framework LibGdx in the Java programming language. We implemented our own neural network and a neural network based on the PyTorch library. Both networks learn using the reinforcement learning method. The results of our own implementation of the neural network were compared with the results of the neural network implemented with the PyTorch library. We found that the results of both networks are very similar. After thirty minutes of learning, the neural network manages to clear half of all destructible walls.
Keywords:	arcade video game, Bomberman, neural network, reinforcement learning, deep Q-network

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