Packt Publishing Packt Deep Reinforcement Learning Hands-On Guide Book

Master complex reinforcement learning concepts with this practical guide by Maxim Lapan. This book provides intuitive explanations that take you from the basics of RL on simple environments to modern, state-of-the-art methods. You will learn how to develop deep RL models, improve their stability, and solve complex environments efficiently. Through the use of modern libraries and concise explanations, you can apply these techniques to diverse applications ranging from games and stock trading to web navigation. This resource covers a wide technical spectrum, including Q-learning, DQNs, PPO, and RLHF. Each purchase of the print or Kindle version includes a free DRM-free PDF eBook and access to Packt's next-gen Reader, making it easy to study your reinforcement learning journey anywhere.