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http://hdl.handle.net/10609/63605
Title: | Aplicación de algoritmos de reinforcement learning a juegos |
Author: | Bermejo Fernández, Eduard |
Tutor: | Kanaan-Izquierdo, Samir |
Others: | Universitat Oberta de Catalunya |
Abstract: | This project focuses its efforts on reviewing the existing literature on Reinforcement Learning as well as applying the algorithms of this field to simple games. The OpenAI Gym toolkit containing the ATARI emulator has been used to perform the experiments. The games used are BlackJack, FrozenLake, MountainCar, Breakout and Pong. From the simplest algorithms to the most complex ones, it¿s been observed that each of them can be applied on different problems and depending on the nature and complexity of the problem some might work better than others. |
Keywords: | machine learning reinforcement learning algorithms |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 31-May-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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ebermejofTFM0617memòria.pdf | Memoria del trabajo fin de máster | 1,98 MB | Adobe PDF | View/Open |
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