Introduction to Reinforcement Learning

Abstract

In this chapter, we will discuss what is Reinforcement Learning and its relationship with Artificial Intelligence. We would then try to go deeper to understand the basic building blocks of Reinforcement Learning like state, actor, environment, and the reward, and will try to understand the challenges in each of the aspect as revealed by using multiple examples so that the intuition is well established, and we build a solid foundation before going ahead into some advanced topics. We would also discuss how the agent learns to take the best action and the policy for learning the same. We will also learn the difference between the On-Policy and the Off-Policy methods.