This chapter introduces the readers to a new concept of machine learning,
other than supervised and unsupervised learning. This concept is popularly known as
reinforcement learning. Reinforcement learning is a kind of machine learning
algorithm, where the model learns itself based on surrounding behavior and new
technique of rewarding. This chapter will gradually teach the readers about each
concept for understanding reinforcement learning in-depth, alongside a basic
application with Python. This chapter will look at the concepts to understand why it
is getting so much attention these days. This serves as a beginner's guide to
reinforcement learning. Reinforcement learning is undoubtedly one of the most
visible study areas at the moment, with a promising future ahead of it, and its
popularity is growing by the day.
Keywords: Machine Learning, Reinforcement Learning, Environment, Reward,
Agent, Learning.
