|Listed in category:
Have one to sell?

Adaptive Computation and Machine Learning Ser.: Reinforcement Learning,...

US $49.90
ApproximatelyS$ 64.13
or Best Offer
Condition:
Like New
More than 10 available2 sold
Popular item. 2 have already sold.
Shipping:
Free USPS Media MailTM.
Located in: Port Coquitlam, British Columbia, Canada
Delivery:
Estimated between Thu, 28 Aug and Sat, 13 Sep to 94104
Estimated delivery dates - opens in a new window or tab include seller's handling time, origin ZIP Code, destination ZIP Code and time of acceptance and will depend on shipping service selected and receipt of cleared paymentcleared payment - opens in a new window or tab. Delivery times may vary, especially during peak periods.
Returns:
No returns accepted.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:376262100366
Last updated on Jul 15, 2025 22:01:19 SGTView all revisionsView all revisions

Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
ISBN
9780262039246

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262039249
ISBN-13
9780262039246
eBay Product ID (ePID)
12038265595

Product Key Features

Number of Pages
552 Pages
Publication Name
Reinforcement Learning, Second Edition : an Introduction
Language
English
Publication Year
2018
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Neural Networks
Type
Textbook
Subject Area
Computers
Author
Richard S. Sutton, Andrew G. Barto
Series
Adaptive Computation and Machine Learning Ser.
Format
Hardcover

Dimensions

Item Height
1.5 in
Item Weight
41.6 Oz
Item Length
11.2 in
Item Width
7.3 in

Additional Product Features

Edition Number
2
Intended Audience
Trade
LCCN
2018-023826
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
006.3/1
Synopsis
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. 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. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
LC Classification Number
Q325.6.R45 2018

Item description from the seller

About this seller

soldgoods25

60% positive feedback133 items sold

Joined Jan 2025

Detailed Seller Ratings

Average for the last 12 months
Accurate description
--
Reasonable shipping cost
5.0
Shipping speed
--
Communication
--

Seller feedback (20)

All ratings
Positive
Neutral
Negative