Pregled bibliografske jedinice broj: 1265724
Experimental Evaluation of Deep Reinforcement Learning Algorithms
Experimental Evaluation of Deep Reinforcement Learning Algorithms // Proceedings of the Croatian Computer Vision Workshop 2018 / Lončarić, Sven ; Petković, Tomislav (ur.).
Zagreb: Sveučilište u Zagrebu, 2018. str. 7-12 doi:10.20532/ccvw.2018.0003 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1265724 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Experimental Evaluation of Deep Reinforcement
Learning Algorithms
Autori
Mrzljak, Nikola ; Hrkać, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Croatian Computer Vision Workshop 2018
/ Lončarić, Sven ; Petković, Tomislav - Zagreb : Sveučilište u Zagrebu, 2018, 7-12
Skup
Croatian Computer Vision Workshop 2018
Mjesto i datum
Zagreb, Hrvatska, 24.10.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
reinforcement learning, deep learning
Sažetak
—Reinforcement learning is an interesting field with regards to its applicability. As such, it has been studied for use in computer vision where it has just recently found its place. The problem it encountered was the high dimensionality of input data in computer vision. The aim of this paper is to provide an overview of the reinforcement learning algorithms for solving the task of reinforcement learning with raw pixels of an image as an input to the algorithm and test their performance on Atari Breakout video game. The comparison of different algorithms will be given and discussed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Tomislav Hrkać
(autor)