Reinforcement learning : an introduction

By:

Sutton, Richard S

Contributor(s):

Barto, Andrew G

Material type: Text

TextSeries: Adaptive computation and machine learning seriesPublication details: London MIT Press 2018Edition: 2nd EDDescription: xxii, 526 p illustrations (some color)ISBN:

9780262039246

Subject(s):

Reinforcement learning

DDC classification:

006.31 SUT/R

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	Call number	Status	Date due	Barcode	Item holds
Reference	IIIT Kottayam Central Library Reference	006.31 SUT/R (Browse shelf(Opens below))	Not For Loan		2844

Total holds: 0

Browsing IIIT Kottayam Central Library shelves, Shelving location: Reference Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.31 PRA/A Advances in Financial Machine Learning	006.31 PRA/M Machine Learning Using Python	006.31 RAH/M Machine Learning Using R	006.31 SUT/R Reinforcement learning : an introduction	006.312 BAE/A Analytics in a big data world : the essential guide to data science and its applications	006.312 CHA/D Data Mining Methods	006.312 CIC/D Data mining algorithms : explained using R	Next

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."--

There are no comments on this title.

to post a comment.