Markov Decision Processes: Discrete Stochastic Dynamic Programming,Used

Markov Decision Processes: Discrete Stochastic Dynamic Programming,Used

In Stock
SKU: SONG0471619779
UPC: 9780471619772
Brand: Wiley-Interscience
Condition: Used
Regular price$204.86
Quantity
Add to wishlist
Add to compare

Sold by Ergodebooks, an authorized reseller.

Returns accepted within 30 days | support@ergodebooks.com

Verified
Shipping Information
  • Free Standard Shipping — United States only
  • Processing Time: 1–3 business days
  • Estimated Delivery: 3–5 business days after dispatch
  • Double-boxed, fully insured & discreetly packaged
  • Tracking number sent via email once dispatched
  • Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund

Returns accepted within 30 days of delivery.

Damaged or Defective Item

Free return shipping + replacement or full refund

Wrong Item Received

Free return shipping + replacement or full refund

Change of Mind

Return shipping at customer's expense · 25% restocking fee applies

All returns require a Return Authorization (RA) number before sending.

To initiate a return, contact us:

support@ergodebooks.com +1 (281) 738-1050
View Full Return & Refund Policy
Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

An Uptodate, Unified And Rigorous Treatment Of Theoretical, Computational And Applied Research On Markov Decision Process Models. Concentrates On Infinitehorizon Discretetime Models. Discusses Arbitrary State Spaces, Finitehorizon And Continuoustime Discretestate Models. Also Covers Modified Policy Iteration, Multichain Models With Average Reward Criterion And Sensitive Optimality. Features A Wealth Of Figures Which Illustrate Examples And An Extensive Bibliography.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the size of the book? A: The book measures six point three four inches in length, one point four two inches in width, and nine point four seven inches in height.
  • Q: How many pages does this book have? A: This book contains six hundred seventy-two pages, providing extensive coverage of its subject matter.
  • Q: What type of binding does the book have? A: The book is bound in hardcover, ensuring durability and longevity.
  • Q: Who is the author of this book? A: The author of the book is Martin L. Puterman, a recognized expert in Markov decision processes.
  • Q: What topics does the book cover? A: The book discusses theoretical, computational, and applied research on Markov decision process models.
  • Q: Is this book suitable for beginners? A: Yes, the book provides a unified and rigorous treatment, making it accessible for beginners in the field.
  • Q: What type of audience is this book intended for? A: This book is ideal for students and professionals interested in probability and statistics, especially in decision-making processes.
  • Q: Does the book include illustrations? A: Yes, the book features a wealth of figures that illustrate examples throughout the text.
  • Q: How should I store this book? A: Store the book in a cool, dry place, away from direct sunlight to preserve its condition.
  • Q: Can I clean this book? A: Yes, to clean the book, gently wipe the cover with a dry cloth to remove dust and avoid moisture.
  • Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller for return or replacement options.
  • Q: What is the primary focus of the research in this book? A: The primary focus is on infinite-horizon discrete-time models in Markov decision processes.
  • Q: Does the book cover advanced topics? A: Yes, it includes advanced topics like modified policy iteration and multichain models.
  • Q: Is this book recommended for professionals? A: Yes, it is recommended for professionals involved in applied research on decision processes.
  • Q: How do I properly care for this hardcover book? A: To care for this hardcover book, keep it upright on a shelf and avoid excessive bending of the pages.
  • Q: Are there references included in the book? A: Yes, the book includes an extensive bibliography for further reading and research.

Recently Viewed