Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF 3rd ed. Edition

Maxim Lapan delivers intuitive explanations and insights into complex reinforcement learning (RL) concepts, starting from the basics of RL on simple environments and tasks to modern, state-of-the-art methods

Key Features

• Learn with concise explanations, modern libraries, and diverse applications from games to stock trading and web navigation
• Develop deep RL models, improve their stability, and efficiently solve complex environments
• New content on RL from human feedback (RLHF), MuZero, and transformers

Book Description

Start your journey into reinforcement learning (RL) and reward yourself with the third edition of Deep Reinforcement Learning Hands-On. This book takes you through the basics of RL to more advanced concepts with the help of various applications, including game playing, discrete optimization, stock trading, and web browser navigation.