a learning system that wants something, that adapts its behavior in order to maximize a special signal from its environment. This was the idea of a \he-donistic" learning system, or, as we would say now, the idea of reinforcement learning. Like others, we had a sense that reinforcement learning had been thor-
Reinforcement Learning , second edition - MIT Press
2018年11月13日 · The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intel...
7 must read books for Reinforcement Learning - Medium
2023年1月8日 · The following are 7 must read books on Reinforcement learning which will give you the necessary background to use RL in your work or pursue further research in this field. 1. Reinforcement...
The Art of Reinforcement Learning - Springer
2023年12月8日 · Beginning with an overview of fundamental concepts such as Markov decision processes, dynamic programming, Monte Carlo methods, and temporal difference learning, this book uses clear and concise examples to explain the basics of RL theory.
Grokking Deep Reinforcement Learning - amazon.com
2020年11月10日 · Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. Summary.
- 评论数: 79
- 作者: Miguel Morales
Deep Reinforcement Learning Hands-On: Apply modern RL …
2020年1月31日 · Second edition of the bestselling introduction to deep reinforcement learning, expanded with six new chapters. Learn advanced exploration techniques including noisy networks, pseudo-count, and network distillation methods. Apply RL methods to cheap hardware robotics platforms.
Reinforcement Learning, second edition : An Introduction - Google Books
2018年11月13日 · Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward...
Reinforcement Learning, second edition: An Introduction …
2018年11月13日 · "Reinforcement Learning, Second Edition: An Introduction" is an exceptional and comprehensive guide to the captivating field of reinforcement learning. With a perfect balance of theory and practical applications, this book caters to beginners and professionals alike.
- 评论数: 567
- 作者: Richard S. Sutton, Andrew G. Barto
Sutton & Barto Book: Reinforcement Learning: An Introduction
Reinforcement Learning: An Introduction. Richard S. Sutton and Andrew G. Barto. Second Edition (see here for the first edition) MIT Press, Cambridge, MA, 2018.
Reinforcement Learning[Book] - O'Reilly Media
This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices.