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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.
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.
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.
Introduces readers not only to algorithms, but also the mathematical theory behind them
Covers all major reinforcement learning algorithms, including classical algorithms
Every chapter is followed by high-quality implementations based on Python 3, Gym, and TensorFlow 2
Chapter 1. Introduction of Reinforcement Learning (RL).- Chapter 2. MDP: Markov Decision Process.- Chapter 3. Model-based Numerical Iteration.- Chapter 4. MC: Monte Carlo Learning.- Chapter 5. TD: Temporal Difference Learning.- Chapter 6. Function Approximation.- Chapter 7. PG: Policy Gradient.- Chapter 8. AC: Actor-Critic.- Chapter 9. DPG: Deterministic Policy Gradient.- Chapter 10. Maximum-Entropy RL.- Chapter 11. Policy-based Gradient-Free Algorithms.- Chapter 12. Distributional RL.- Chapter 13. Minimize Regret.- Chapter 14. Tree Search.- Chapter 15. More Agent-Environment Interfaces.- Chapter 16. Learn from Feedback and Imitation Learning.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xxii
559 S. 1 s/w Illustr. 60 farbige Illustr. 559 p. 61 illus. 60 illus. in color. |
| ISBN-13: | 9789811949326 |
| ISBN-10: | 9811949328 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Xiao, Zhiqing |
| Hersteller: |
Springer Singapore
Springer Nature Singapore |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 37 mm |
| Von/Mit: | Zhiqing Xiao |
| Erscheinungsdatum: | 29.09.2024 |
| Gewicht: | 1,033 kg |
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.
Introduces readers not only to algorithms, but also the mathematical theory behind them
Covers all major reinforcement learning algorithms, including classical algorithms
Every chapter is followed by high-quality implementations based on Python 3, Gym, and TensorFlow 2
Chapter 1. Introduction of Reinforcement Learning (RL).- Chapter 2. MDP: Markov Decision Process.- Chapter 3. Model-based Numerical Iteration.- Chapter 4. MC: Monte Carlo Learning.- Chapter 5. TD: Temporal Difference Learning.- Chapter 6. Function Approximation.- Chapter 7. PG: Policy Gradient.- Chapter 8. AC: Actor-Critic.- Chapter 9. DPG: Deterministic Policy Gradient.- Chapter 10. Maximum-Entropy RL.- Chapter 11. Policy-based Gradient-Free Algorithms.- Chapter 12. Distributional RL.- Chapter 13. Minimize Regret.- Chapter 14. Tree Search.- Chapter 15. More Agent-Environment Interfaces.- Chapter 16. Learn from Feedback and Imitation Learning.
| Erscheinungsjahr: | 2024 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xxii
559 S. 1 s/w Illustr. 60 farbige Illustr. 559 p. 61 illus. 60 illus. in color. |
| ISBN-13: | 9789811949326 |
| ISBN-10: | 9811949328 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Xiao, Zhiqing |
| Hersteller: |
Springer Singapore
Springer Nature Singapore |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 37 mm |
| Von/Mit: | Zhiqing Xiao |
| Erscheinungsdatum: | 29.09.2024 |
| Gewicht: | 1,033 kg |
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