Deep Reinforcement Learning Hands-On

What this book covers

Chapter 1, What is Reinforcement Learning?, contains introduction to RL ideas and main formal models.

Chapter 2, OpenAI Gym, introduces the reader to the practical aspect of RL, using open-source library gym.

Chapter 3, Deep Learning with PyTorch, gives a quick overview of the PyTorch library.

Chapter 4, The Cross-Entropy Method, introduces you to one of the simplest methods of RL to give you the feeling of RL methods and problems.

Chapter 5, Tabular Learning and the Bellman Equation, gives an introduction to the Value-based family of RL methods.

Chapter 6, Deep Q-Networks, describes DQN, the extension of basic Value-based methods, allowing to solve complicated environment.

Chapter 7, DQN Extensions, gives a detailed overview ...