Preface

This book brings human-level performance into your applications using the algorithms and techniques of reinforcement learning coupled with Keras, the fast experimental library. Some of the projects that are covered are a delivery vehicle routing application, forecasting stock market prices, a robot control system, a optimal portfolio selection, and the dynamic modeling of a Segway. Throughout this book, you will get your hands dirty with the most popular algorithms, such as the Markov Decision Process, the Monte Carlo method, and Q-learning, so that you can be equipped with complex statistics to get better results.