Understanding the Reinforcement Learning

Abstract

Artificial Intelligence has been a hot topic for a long time. It is a cross-discipline combined with many fields. Among them, machine learning plays the most important role. There are four core subjects in machine learning, supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. In this paper, we are going to talk about the reinforcement learning in the perspective of Markov Decision Process and Partially Observable Markov Decision Process, which are the core algorithms in reinforcement learning. Also, an example of Hearthstone is illustrated to show how to apply reinforcement learning in games for better understanding.