Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.
By: Sutton, Richard S [author.].
Contributor(s): Barto, Andrew G [author.].
Series: Adaptive computation and machine learning series.Edition: Second edition.Description: xxii, 526 pages : illustrations (some color) ; 24 cm.ISBN: 9780262039246 (hardcover : alk. paper).Subject(s): Reinforcement learningDDC classification: 006.3/1 Online resources: Full-text here 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."--| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| E-Book | Skoltech library Shelves | Q325.6 .R45 2018 (Browse shelf) | Available |
Browsing Skoltech library Shelves , Shelving location: Shelves Close shelf browser
| Q325.5 .P48 2017 Elements of causal inference : | Q325.5 .S475 2014 Understanding machine learning : | Q325.5 .S475 2014 Understanding machine learning : | Q325.6 .R45 2018 Reinforcement learning : | Q325.6 .S88 1998 Reinforcement learning : | Q325.6 .S88 1998 Reinforcement learning : | Q325.75 .S33 2012 Boosting : |
Includes bibliographical references (pages 481-518) and index.
"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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