Thesis Details

Trénování inteligentních agentů v enginu Unity

Bachelor's Thesis Student: Vaculík Jan Academic Year: 2020/2021 Supervisor: Matýšek Michal, Ing.
English title
Training Intelligent Agents in Unity Game Engine
Language
Czech
Abstract

The goal of this work is to design applications, which demonstrate the power of machine learning in video games. To achieve this goal, this work uses the ML-Agents toolkit, which allows the creation of intelligent agents in the Unity Game Engine. Furthermore, a series of experiments showing the properties and flexibility of intelligent agents in several real-time scenarios is presented. To train the agents, the toolkit uses reinforcement learning and imitation learning algorithms.

Keywords

Machine Learning, Neural Netowrk, Deep Reinforcement Learning, Imitation Learning, Unity, ML Agents, Python, Agents

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
15 June 2021
Reviewer
Chlubna Tomáš, Ing.
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
VACULÍK, Jan. Trénování inteligentních agentů v enginu Unity. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-15. Supervised by Matýšek Michal. Available from: https://www.fit.vut.cz/study/thesis/24108/
BibTeX 
@bachelorsthesis{FITBT24108,
    author = "Jan Vacul\'{i}k",
    type = "Bachelor's thesis",
    title = "Tr\'{e}nov\'{a}n\'{i} inteligentn\'{i}ch agent\r{u} v enginu Unity",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24108/"
}

Theses

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