Thesis Details

Hluboké neuronové sítě pro posilované učení

Bachelor's Thesis Student: Ludvík Tomáš Academic Year: 2021/2022 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Deep Neural Networks for Reinforcement Learning
Language
Czech
Abstract

The aim of this thesis is to use deep neural networks for task in reinforcement learning. I use my modification of 2D game Tuxánci for the purposes of the test environment. This modification provides the possibility of using the game as an environment for machine learning. Subsequently, Iam solving the task of learning the agent by using reinforcement learning with the Double DQN algorithm.

Keywords

reinforcement learning, DQN, Tuxánci, Tensorflow, machine learning, testing enviroment

Department
Degree Programme
Files
Status
defended, grade C
Date
14 June 2022
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
LUDVÍK, Tomáš. Hluboké neuronové sítě pro posilované učení. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/24975/
BibTeX
@bachelorsthesis{FITBT24975,
    author = "Tom\'{a}\v{s} Ludv\'{i}k",
    type = "Bachelor's thesis",
    title = "Hlubok\'{e} neuronov\'{e} s\'{i}t\v{e} pro posilovan\'{e} u\v{c}en\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24975/"
}
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