Chapter 1, Introduction to Intelligent Agents and Learning Environments, which enables the development of several AI systems. It sheds light on the important features of the toolkit, which provides you with endless opportunities to create autonomous intelligent agents to solve several algorithmic tasks, games, and control tasks. By the end of this chapter, you will know enough to create an instance of a Gym environment using Python yourself.
Chapter 2, Reinforcement Learning and Deep Reinforcement Learning, provides a concise explanation of the basic terminologies and concepts in reinforcement learning. The chapter will give you a good understanding of the basic reinforcement learning framework for developing AI agents. ...
