Deep Reinforcement Learning Hands-On - Second Edition: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

Deep Reinforcement Learning Hands-On, Second Edition is an updated and expanded version of the bestselling guide to the latest reinforcement learning tools and techniques.

With six new chapters covering a range of up-to-the-minute developments in RL, including multi-agent methods, discrete optimization, and more, this book provides readers with a comprehensive understanding of the latest innovations in the field.

The book includes practical examples and code optimization for building real hardware robots trained with RL for less than $100 and solving the Pong environment in just 30 minutes of training.

Whether you're a beginner or an experienced practitioner, this book is your companion to navigating the exciting world of deep reinforcement learning.