| Edition |
Second edition. |
| Description |
xxii, 526 p. : ill., charts ; 24 cm. |
| Series |
Adaptive computation and machine learning
|
| Note |
KH-AUL-3 |
|
Previous edition: 1998. |
| Bibliography |
Includes bibliographical references and index.. |
| 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."-- |
| Subject |
Reinforcement learning
|
| Added Author |
Barto, Andrew G
|
| ISBN |
9780262039246 |
|
