Markov Decision Processes in Artificial Intelligence / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $134.95
Usually ships in 1-2 business days
(Save 20%)
Other sellers (Hardcover)
  • All (5) from $134.95   
  • New (4) from $134.95   
  • Used (1) from $163.19   
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any coupons and promotions
Seller since 2008

Feedback rating:



New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.

Ships from: Montgomery, IL

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
Seller since 2009

Feedback rating:


Condition: New
New Book. Shipped from US within 10 to 14 business days. Established seller since 2000.

Ships from: Secaucus, NJ

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Seller since 2007

Feedback rating:


Condition: New

Ships from: Avenel, NJ

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
Seller since 2015

Feedback rating:


Condition: New
1848211678 Premium Publisher Direct Books are Like New or Brand New books direct from the publisher sometimes at a discount. Multiple copies are usually available. These books ... are not available for expedited shipping and may take up to 14 business days to receive. Read more Show Less

Ships from: Agoura Hills, CA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Express, 48 States
Page 1 of 1
Showing All
Sort by


Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.

Read More Show Less

Editorial Reviews

From the Publisher
"As an overall conclusion, this book is an extensive presentation of MDPs and their applications in modeling uncertain decision problems and in reinforcement learning." (Zentralblatt MATH, 2011)

"The range of subjects covered is fascinating, however, from game-theoretical applications to reinforcement learning, conservation of biodiversity and operations planning. Oriented towards advanced students and researchers in the fields of both artificial intelligence and the study of algorithms as well as discrete mathematics." (Book News, September 2010)

Read More Show Less

Product Details

  • ISBN-13: 9781848211674
  • Publisher: Wiley
  • Publication date: 3/29/2010
  • Series: ISTE Series, #447
  • Edition number: 1
  • Pages: 480
  • Product dimensions: 6.40 (w) x 9.20 (h) x 1.30 (d)

Table of Contents

List of Authors

Pt. 1 MDPs: Models and Methods 1

Ch. 1 Markov Decision Processes Frederick Garcia Garcia, Frederick Emmanuel Rachelson Rachelson, Emmanuel 3

Ch. 2 Reinforcement Learning Olivier Sigaud Sigaud, Olivier Frederick Garcia Garcia, Frederick 39

Ch. 3 Approximate Dynamic Programming Remi Munos Munos, Remi 67

Ch. 4 Factored Markov Decision Processes Thomas Degris Degris, Thomas Olivier Sigaud Sigaud, Olivier 99

Ch. 5 Policy-Gradient Algorithms Olivier Buffet Buffet, Olivier 127

Ch. 6 Online Resolution Techniques Laurent Peret Peret, Laurent Frederick Garcia Garcia, Frederick 153

Pt. 2 Beyond MDPs 185

Ch. 7 Partially Observable Markov Decision Processes Alain Dutech Dutech, Alain Bruno Scherrer Scherrer, Bruno 187

Ch. 8 Stochastic Games Andriy Burkov Burkov, Andriy Laetitia Matignon Matignon, Laetitia Brahim Chaib-Draa Chaib-Draa, Brahim 229

Ch. 9 Dec-Mdp/Pomdp Aurelie Beynier Beynier, Aurelie Francois Charpillet Charpillet, Francois Daniel Szer Szer, Daniel Abdel-Illah Mouaddib Mouaddib, Abdel-Illah 277

Ch. 10 Non-Standard Criteria Matthieu Boussard Boussard, Matthieu Maroua Bouzid Bouzid, Maroua Abdel-Illah Mouaddib Mouaddib, Abdel-Illah Regis Sabbadin Sabbadin, Regis Paul Weng Weng, Paul 319

Pt. 3 Applications 361

Ch. 11 Online Learning for Micro-Object Manipulation Guillaume Laurent Laurent, Guillaume 363

Ch. 12 Conservation of Biodiversity Iadine Chades Chades, Iadine 375

Ch. 13 Autonomous Helicopter Searching for a Landing Area in an Uncertain Environment Patrick Fabiani Fabiani, Patrick Florent Teichteil-Konigsbuch Teichteil-Konigsbuch, Florent 395

Ch. 14 Resource Consumption Control for an Autonomous Robot Simon Le Gloannec Le Gloannec, Simon Abdel-Illah Mouaddib Mouaddib, Abdel-Illah 413

Ch. 15 Operations Planning Sylvie Thiebaux Thiebaux, Sylvie Olivier Buffet Buffet, Olivier 425

Index 453

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)