Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.
"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, Richar...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge, Massachusetts :
The MIT Press,
[2018]
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| Edition: | Second edition. |
| Series: | Adaptive computation and machine learning.
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| Subjects: |
| Summary: | "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."-- |
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| Physical Description: | xxii, 526 pages ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0262039249 9780262039246 |