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Neuro-dynamic programming by Dimitri P. Bertsekas

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Published by Athena Scientific in Belmont, Mass .
Written in English

Subjects:

  • Neural networks (Computer Science),
  • Mathematical optimization.,
  • Dynamic programming.

Book details:

Edition Notes

Includes bibliographical references (p. 475-486) and index.

StatementDimitri P. Bertsekas and John N. Tsitsiklis.
SeriesOptimization and neural computation series
ContributionsTsitsiklis, John N.
Classifications
LC ClassificationsQA76.87 .B47 1996
The Physical Object
Paginationxiii, 491 p. :
Number of Pages491
ID Numbers
Open LibraryOL1022653M
ISBN 101886529108
LC Control Number96085338
OCLC/WorldCa35983505

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The book develops a comprehensive analysis of neuro-dynamic programming algorithms, and guides the reader to their successful application through case studies from complex problem areas. Review by George Cybenko for IEEE Computational Science and Engineering, May Neuro-dynamic programming (or "Reinforcement Learning", which is the term used in the Artificial Intelligence literature) uses neural network and other approximation architectures to overcome such bottlenecks to the applicability of dynamic programming. This approach is studied in the book Neuro-Dynamic Programming,, which includes.   Unlike previously proposed neuro-dynamic programming methods (Bertsekas and Tsitsiklis ), in this paper we focus on using DNNs for value or . Neuro-Dynamic Programming | Dimitri P. Bertsekas, John N. Tsitsiklis | download | B–OK. Download books for free. Find books.

  This book provides the first systematic presentation of the science and the art behind this exciting and far-reaching methodology. The book develops a comprehensive analysis of neuro-dynamic programming algorithms, and guides the reader to their successful application through case studies from complex problem s: 5. Neuro–dynamic programming is comprised of algorithms for solving large– scale stochastic control problems. Many ideas underlying these algorithms originated in the field of artificial intelligence and were motivated to some extent by descriptive models of animal behavior. This chapter provides. Volume II now numbers more than pages and is larger in size than Vol. I. It can arguably be viewed as a new book! A major expansion of the discussion of approximate DP (neuro-dynamic programming), which allows the practical application of dynamic programming to large and complex problems. Approximate DP has become the central focal point of. The mathematical style of the book is somewhat different from the author's dynamic programming books, and the neuro-dynamic programming monograph, written jointly with John Tsitsiklis. We rely more on intuitive explanations and less on proof-based insights. Still we provide a rigorous short account of the theory of finite and infinite horizon.

Bertsekas DP () Dynamic programming and optimal control, vol II, Athena Sci., Belmont zbMATH Google Scholar 3. Bertsekas DP, Tsitsiklis JN () Neuro-dynamic programming. Computer Science; Published in Encyclopedia of Optimization ; DOI: /_ Neuro-Dynamic Programming @inproceedings{BertsekasNeuroDynamicP, title={Neuro-Dynamic Programming}, author={Dimitri P. Bertsekas}, . Neuro-Dynamic Programming was, and is, a foundational reference for anyone wishing to work in the field that goes under names such as approximate dynamic programming, adaptive dynamic programming, reinforcement learning or, as a result of this book, neuro-dynamic programming.5/5. neuro dynamic programming Download neuro dynamic programming or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get neuro dynamic programming book now. This site is like a library, Use search box .