Thesis Details

Hluboké neuronové sítě pro posilované učení

Bachelor's Thesis Student: Košák Václav Academic Year: 2020/2021 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Deep Neural Networks for Reinforcement Learning
Language
Czech
Abstract

The paper describes a training environment for training a character how to walk. The environment is implemented in Al Gym by using the PyBullet physical model. Tasks from the environment are solved by using reinforcement learning by the ActorCritic algorithm. Each of the tasks is focused on the fundamental movements of the character. The paper show, which reward functions are used by the algorithm to solve given tasks.

Keywords

reinforcement learning, Actor Critic, AI Gym, PyBullet, PyTorch, robot, machine learning

Department
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
14 June 2021
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
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
KOŠÁK, Václav. Hluboké neuronové sítě pro posilované učení. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-14. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/20906/
BibTeX
@bachelorsthesis{FITBT20906,
    author = "V\'{a}clav Ko\v{s}\'{a}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 = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/20906/"
}
Back to top