An Application of Reinforcement Learning to Constitute Ms.PacMan Agents

Abstract

This paper introduces a constitution method by Reinforcement Learning of agents of Ms.PacMan. We employ a sort of Kanerva coding method as the state representation of the proposed method. The Q-Learning method is used as a reinforcement learning algorithms. The experimental results show the effectiveness of the proposed method.