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

By:

Sutton, Richard S [author.]

Contributor(s):

Barto, Andrew G [author.]

Series: Adaptive computation and machine learning seriesPublication details: Cambridge, Massachusetts : The MIT Press, c2018Edition: Second editionDescription: xxii, 526 pages : illustrations (some color) ; 23 cmISBN:

9780262039246 (hardcover : alk. paper)

Subject(s):

DDC classification:

006.31 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."--

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode	Item holds
Book	Ayesha Abed Library General Stacks	Ayesha Abed Library General Stacks	006.31 SUT (Browse shelf(Opens below))	1	Checked out	12/09/2024	3010034688
Book	Ayesha Abed Library General Stacks	Ayesha Abed Library General Stacks	006.31 SUT (Browse shelf(Opens below))	2	Missing		3010034689

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."--

CSE

There are no comments on this title.

to post a comment.