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Can I read Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) on EtoBox?
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) by Richard S. Sutton and Andrew G. Barto is a science book available to read on EtoBox.
What is Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) about?
**Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.** 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 when interacting with a complex, uncertain environment. In __Reinforcement Learning__, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability. The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution
Who reads Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series)?
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 and Andrew G. Barto
- Publisher
- MIT;A Bradford Book
- Published
- 1998
- Language
- EN
- ISBN
- 9786612096785
- Category
- science
- Subjects
- Science, Computer Science, Stem
- Rating
- 4.39 / 5 (179 ratings)
- Updated
- 2026-03-14
Other editions & translations
- Reinforcement Learning, Second Edition : An Introduction (2020)
- Reinforcement Learning, Second Edition : An Introduction (2018)
- 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 Introduction [2nd ed.] (2018)
- 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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