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Approximate Dynamic Programming: Solving the Curses of D... by Powell, Warren B.

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-- SHIPPED FROM UK -- This book is in 'very good condition' with minimal signs of use. It appears ... Read moreAbout condition
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Item specifics

Condition
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“-- SHIPPED FROM UK -- This book is in 'very good condition' with minimal signs of use. It appears ...
ISBN
9780470604458
EAN
9780470604458
Book Title
Approximate Dynamic Programming: Solving the Curses of Dimensi...
Topic
Books
Publication Year
2011
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Approximate Dynamic Programming: Solving the Curses of Dimensionality
Item Height
248mm
Author
Warren B. Powell
Publisher
John Wiley & Sons INC International Concepts
Item Width
166mm
Subject
Mathematics
Item Weight
1050g
Number of Pages
656 Pages

About this product

Product Information

Praise for the First Edition Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautiful book fills a gap in the libraries of OR specialists and practitioners. ?Computing Reviews This new edition showcases a focus on modeling and computation for complex classes of approximate dynamic programming problems Understanding approximate dynamic programming (ADP) is vital in order to develop practical and high-quality solutions to complex industrial problems, particularly when those problems involve making decisions in the presence of uncertainty. Approximate Dynamic Programming, Second Edition uniquely integrates four distinct disciplines?Markov decision processes, mathematical programming, simulation, and statistics?to demonstrate how to successfully approach, model, and solve a wide range of real-life problems using ADP. The book continues to bridge the gap between computer science, simulation, and operations research and now adopts the notation and vocabulary of reinforcement learning as well as stochastic search and simulation optimization. The author outlines the essential algorithms that serve as a starting point in the design of practical solutions for real problems. The three curses of dimensionality that impact complex problems are introduced and detailed coverage of implementation challenges is provided. The Second Edition also features: A new chapter describing four fundamental classes of policies for working with diverse stochastic optimization problems: myopic policies, look-ahead policies, policy function approximations, and policies based on value function approximations A new chapter on policy search that brings together stochastic search and simulation optimization concepts and introduces a new class of optimal learning strategies Updated coverage of the exploration exploitation problem in ADP, now including a recently developed method for doing active learning in the presence of a physical state, using the concept of the knowledge gradient A new sequence of chapters describing statistical methods for approximating value functions, estimating the value of a fixed policy, and value function approximation while searching for optimal policies The presented coverage of ADP emphasizes models and algorithms, focusing on related applications and computation while also discussing the theoretical side of the topic that explores proofs of convergence and rate of convergence. A related website features an ongoing discussion of the evolving fields of approximation dynamic programming and reinforcement learning, along with additional readings, software, and datasets. Requiring only a basic understanding of statistics and probability, Approximate Dynamic Programming, Second Edition is an excellent book for industrial engineering and operations research courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who utilize dynamic programming, stochastic programming, and control theory to solve problems in their everyday work.

Product Identifiers

Publisher
John Wiley & Sons INC International Concepts
ISBN-13
9780470604458
eBay Product ID (ePID)
109264396

Product Key Features

Author
Warren B. Powell
Publication Name
Approximate Dynamic Programming: Solving the Curses of Dimensionality
Format
Hardcover
Language
English
Subject
Mathematics
Publication Year
2011
Type
Textbook
Number of Pages
656 Pages

Dimensions

Item Height
248mm
Item Width
166mm
Item Weight
1050g

Additional Product Features

Title_Author
Warren B. Powell
Series Title
Wiley Series in Probability and Statistics
Country/Region of Manufacture
United States

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