Reinforcement Learning Algorithms with Python

What this book covers

Chapter 1, The Landscape of Reinforcement Learning, gives you an insight into RL. It describes the problems that RL is good at solving and the applications where RL algorithms are already adopted. It also introduces the tools, the libraries, and the setup needed for the completion of the projects in the following chapters.

Chapter 2, Implementing RL Cycle and OpenAI Gym, describes the main cycle of the RL algorithms, the toolkit used to develop the algorithms, and the different types of environments. You will be able to develop a random agent using the OpenAI Gym interface to play CartPole using random actions. You will also learn how to use the OpenAI Gym interface to run other environments.

Chapter 3, Solving Problems ...