Thesis Details

Aplikace posilovaného učení v řízení autonomního vozidla

Master's Thesis Student: Vosol David Academic Year: 2021/2022 Supervisor: Janoušek Vladimír, doc. Ing., Ph.D.
English title
Application of Reinforcement Learning in Autonomous Driving
Language
Czech
Abstract

This thesis is focused on the topic of reinforcement learning applied to a task of autonomous vehicle driving. First, the necessary fundamental theory is presented, including the state-of-the-art actor-critic methods. From them the Proximal policy optimization algorithm is chosen for the application to the mentioned task. For the same purpose, the racing simulator TORCS is used. Our goal is to learn a reinforcement learning agent in a simulated environment with the focus on a future real-world application to an RC scaled model car. To achieve this, we simulate the conditions of remote learning and control in the cloud. For that, simulation of network packet loss, noisy sensory and actuator data is done. We also experiment with the least number of vehicle's sensors required for the agent to successfully learn the task. Experiments regarding the vehicle's camera output are also carried out. Different system architectures are proposed, among others also with the aim to minimize hardware requirements. Finally, we explore the generalization properties of a learned agent in an unknown environment.

Keywords

reinforcement learning, policy gradients, actor-critic, autonomous driving, TORCS, neural networks, proximal policy optimization, PPO

Department
Degree Programme
Files
Status
defended, grade B
Date
21 June 2022
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), člen
Citation
VOSOL, David. Aplikace posilovaného učení v řízení autonomního vozidla. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-21. Supervised by Janoušek Vladimír. Available from: https://www.fit.vut.cz/study/thesis/25127/
BibTeX
@mastersthesis{FITMT25127,
    author = "David Vosol",
    type = "Master's thesis",
    title = "Aplikace posilovan\'{e}ho u\v{c}en\'{i} v \v{r}\'{i}zen\'{i} autonomn\'{i}ho vozidla",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25127/"
}
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