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

By:

Sutton, Richard S

Contributor(s):

Barto, Andrew G

Material type: Text

TextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge MIT PressEdition: Second editionDescription: xxii, 526 pages : illustrations (some color)ISBN:

9780262039246

Subject(s):

Reinforcement learning

DDC classification:

006.31 23 SUT/R

Other classification:

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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Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Optoelectronics	Dept. of Optoelectronics	006.31 SUT/R (Browse shelf(Opens below))	Available		DOP3631

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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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