Reinforcement learning pro stolní hry

Abstract

The aim of this bachelor thesis is to examine and describe selected reinforcement learning algorithms and apply them to a specific board game. The thesis contains descriptions of the principles on which reinforcement learning is based and a description of individual algorithms. These algorithms are implemented and tested in the practical part of thesis and the results are summarized in the conclusion.

Description

Subject(s)

machine learning, reinforcement learning, table games, neural network

Citation