Reinforcement Learning | Theory and Python Implementation

Zhiqing Xiao

ISBN 10: 9811949352 / ISBN 13: 9789811949357

Published by Springer, 2025

About this Item

Reinforcement Learning | Theory and Python Implementation | Zhiqing Xiao | Taschenbuch | xxii | Englisch | 2025 | Springer | EAN 9789811949357 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 134274485

Bibliographic Details

• Title: Reinforcement Learning | Theory and Python Implementation
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 9811949352
• ISBN 13: 9789811949357
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 32D millimeters 235 millimeters width by 155 millimeters height by 32 millimeters depth
• Weight: 873 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. Codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux.

This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.

About the Author

Zhiqing Xiao obtained doctoral degree from Tsinghua University in 2016 and has more than 15 years in academic research and industrial practices on data-analytics and AI. He is the author of two AI bestsellers in Chinese: “Reinforcement Learning” and “Application of Neural Network and PyTorch” and published many academic papers. He also contributed to recent versions of the open-source software Gym.