From Shortest Paths to Reinforcement Learning - A MATLAB-Based Tutorial on Dynamic Programming (Paperback, 1st ed. 2021)


Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.

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Product Description

Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

EURO Advanced Tutorials on Operational Research

Release date

2022

Availability

Expected to ship within 10 - 15 working days

First published

2021

Authors

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

207

Edition

1st ed. 2021

ISBN-13

978-3-03-061869-8

Barcode

9783030618698

Categories

LSN

3-03-061869-2



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