Screen LibraryReinforcement learning : an introduction /
"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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| Published: |
The MIT Press,
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| Publisher Address: | Cambridge, Massachusetts : |
| Publication Dates: | [2018] |
| Literature type: | Book |
| Language: | English |
| 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."-- |
| Carrier Form: | xxii, 526 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780262039246 0262039249 |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/S967/2nd ed. |