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

By:

Sutton, Richard S [author.]

Contributor(s):

Barto, Andrew G [author.]

Material type:

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

9780262039246

Subject(s):

Reinforcement learning

DDC classification:

006.31 23 S9671r

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."--

List(s) this item appears in: New Arrivals April to July 2026

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	Library, Independent University, Bangladesh (IUB) General Stacks				006.31 S9671r (Browse shelf(Opens below))		2020		01	Available			029882
	Books	Library, Independent University, Bangladesh (IUB) Reference Stacks				006.31 S9671r (Browse shelf(Opens below))		2020		02	Not For Loan			029883

Total holds: 0

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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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