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Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.

By: Sutton, Richard S [author.].
Contributor(s): Barto, Andrew G [author.].
Material type: TextTextSeries: Adaptive computation and machine learning series.Publisher: Cambridge, Massachusetts : The MIT Press, [2018]Edition: Second edition.Description: xxii, 526 pages : Rs. 4450.00 illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780262039246 (hardcover : alk. paper).Subject(s): Reinforcement learningDDC classification: 006.3/1 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."-- Provided by publisher.
List(s) this item appears in: 2019-08-30
Item type Current location Call number Status Date due Barcode Item holds
Book Chennai Mathematical Institute
General Stacks
006.31 SUT (Browse shelf) Checked out 22/08/2022 10705
Total holds: 0

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."-- Provided by publisher.