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Can I read Reinforcement Learning. An Introduction [2nd ed.] on EtoBox?
Reinforcement Learning. An Introduction [2nd ed.] by Richard S. Sutton, Andrew G. Barto is a science book available to read on EtoBox.
What is Reinforcement Learning. An Introduction [2nd ed.] about?
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. 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 it receives while interacting with a complex, uncertain environment. In Reinforcement Learning , Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial
Who reads Reinforcement Learning. An Introduction [2nd ed.]?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Richard S. Sutton, Andrew G. Barto
- Publisher
- The MIT Press
- Published
- 2018
- Language
- EN
- ISBN
- 9780262352703
- Category
- science
- Subjects
- Computer Science, Psychology, Science
- Rating
- 4.6 / 5 (518 ratings)
- Updated
- 2026-03-14
Other editions & translations
- Reinforcement Learning, Second Edition : An Introduction (2020)
- Reinforcement Learning, Second Edition : An Introduction (2018)
- Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) (1998)
- 强化学习导论中文第二版 (2018)
- Reinforcement Learning, second edition: An Introduction (Solutions) (Instructor's Solution Manual) (2018)
- Обучение с подкреплением: введение (2020)
- Reinforcement Learning: An Introduction, 2nd Edition (2020)
- Reinforcement Learning An Introductionutonomous Learning Laboratory (1999)
- Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series) (2018)
- Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) (2002)
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