This book offers a practical guide for those eager to learn about reinforcement learning. We will take a hands-on approach toward learning about reinforcement learning by going through numerous examples of algorithms and their applications. Each chapter focuses on a particular use case and introduces reinforcement learning algorithms that are used to solve the given problem. Some of these use cases rely on state-of-the-art algorithms; hence through this book, we will learn about and implement some of the best-performing algorithms and techniques in the industry.
The projects increase in difficulty/complexity as you go through the book. The following table describes what you will learn from each chapter: