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 |
|