Preface

This book provides a summary of several different reinforcement learning (RL) algorithms, including the theory involved in the algorithms as well as coding them using Python and TensorFlow. Specifically, the algorithms covered in this book are Q-learning, SARSA, DQN, DDPG, A3C, TRPO, and PPO. The applications of these RL algorithms include computer games from OpenAI Gym and autonomous driving using the TORCS racing car simulator.