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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: Text

TextSeries: Adaptive computation and machine learning seriesPublisher: Cambridge, Massachusetts : The MIT Press, [2018]Edition: Second editionDescription: xxii, 526 pages : illustrations (some color) ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780262039246 (hardcover : alk. paper)

Subject(s):

Reinforcement learning

LOC classification:

Q325.6 SUT 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."-- Provided by publisher.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Books	Africa University Main Library General Stacks	Q325.6 SUT 2018 (Browse shelf(Opens below))	c.1	Available	000065045015
Books	Africa University Main Library General Stacks	Q325.6 SUT 2018 (Browse shelf(Opens below))	c.2	Available	000065044018

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.

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