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

By:

Sutton, Richard S [author.]

Contributor(s):

Barto, Andrew G [author.]

Material type: Text

TextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge: The MIT Press, 2020.Edition: Second editionDescription: xxii, 526 pages : illustrations (some color) ; 24 cmISBN:

9780262039246 (hardcover : alk. paper)

Subject(s):

Reinforcement learning

DDC classification:

006.31 So7R2 23

LOC classification:

Q325.6 .R45 2018

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."--

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	Central Library, IISER Bhopal Reference Section	Reference	006.31 So7R2 (Browse shelf(Opens below))	Not For Loan	Reserve		10700
Books	Central Library, IISER Bhopal General Section		006.31 So7R2 (Browse shelf(Opens below))	Checked out to Pavan Rajak (2321004)		18/10/2024	10701

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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