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From shortest paths to reinforcement...

Brandimarte, Paolo.

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From shortest paths to reinforcement learning = a MATLAB-based tutorial on dynamic programming /

Record Type:	Electronic resources : Monograph/item
Title/Author:	From shortest paths to reinforcement learning/ by Paolo Brandimarte.
Reminder of title:	a MATLAB-based tutorial on dynamic programming /
Author:	Brandimarte, Paolo.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xi, 207 p. :ill., digital ;24 cm.
[NT 15003449]:	The dynamic programming principle -- Implementing dynamic programming -- Modeling for dynamic programming -- Numerical dynamic programming for discrete states -- Approximate dynamic programming and reinforcement learning for discrete states -- Numerical dynamic programming for continuous states -- Approximate dynamic programming and reinforcement learning for continuous states.
Contained By:	Springer Nature eBook
Subject:	Dynamic programming. -
Online resource:	https://doi.org/10.1007/978-3-030-61867-4
ISBN:	9783030618674

From shortest paths to reinforcement learning = a MATLAB-based tutorial on dynamic programming /
Brandimarte, Paolo.

From shortest paths to reinforcement learninga MATLAB-based tutorial on dynamic programming /[electronic resource] :by Paolo Brandimarte. - Cham :Springer International Publishing :2021. - xi, 207 p. :ill., digital ;24 cm. - EURO advanced tutorials on operational research,2364-687X. - EURO advanced tutorials on operational research..

The dynamic programming principle -- Implementing dynamic programming -- Modeling for dynamic programming -- Numerical dynamic programming for discrete states -- Approximate dynamic programming and reinforcement learning for discrete states -- Numerical dynamic programming for continuous states -- Approximate dynamic programming and reinforcement learning for continuous states.

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.

ISBN: 9783030618674

Standard No.: 10.1007/978-3-030-61867-4doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

641303
Dynamic programming.

LC Class. No.: T57.83 / .B73 2021

Dewey Class. No.: 519.703

From shortest paths to reinforcement learning = a MATLAB-based tutorial on dynamic programming /
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