Reinforcement learning v počítačových hrách

Abstract

This bachelor thesis deals with reinforcement learning and its application in computer games. The theoretical part of the thesis consists of an introduction to the field of reinforcement learning and a detailed description of selected algorithms and the preprocessing of training data. In the practical part of the thesis, these algorithms are implemented, used to train agents for playing selected computer games, and tested. Finally, the results of the testing are evaluated and compared.