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). It then presents more advanced ...
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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). It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.
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Add this copy of Markov Decision Processes in Artificial Intelligence: to cart. $173.33, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2010 by Wiley-Iste.
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Fine. Glued binding. Paper over boards. 480 p. Contains: Tables, black & white, Figures. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Markov Decision Processes in Artificial Intelligence: to cart. $175.08, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2010 by Wiley-Iste.
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Seller's Description:
New. Glued binding. Paper over boards. 480 p. Contains: Tables, black & white, Figures. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Markov Decision Processes & Artificial Intelligence to cart. $175.09, new condition, Sold by Websew Inc rated 4.0 out of 5 stars, ships from Avenel, NJ, UNITED STATES, published 2010 by Wiley-Iste.
Add this copy of Markov Decision Processes and Artificial Intelligence to cart. $398.10, new condition, Sold by Kennys.ie rated 4.0 out of 5 stars, ships from Galway, IRELAND, published 2010 by Wiley-Iste.
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New. 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. Editor(s): Sigaud, Olivier; Buffet, Olivier. Num Pages: 477 pages, Illustrations. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 235 x 161 x 33. Weight in Grams: 824. 2010. Hardback.....We ship daily from our Bookshop.
