From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming

by Paolo Brandimarte

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.

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Year of publication:	2021 ; 1st ed. 2021.
Authors:	Brandimarte, Paolo
Publisher:	2021.: Cham : Springer International Publishing 2021.: Cham : Imprint: Springer
Subject:	Dynamische Optimierung \| Dynamic programming \| Theorie \| Theory \| Lernprozess \| Learning process \| Lernen \| Learning \| Mathematische Optimierung \| Mathematical programming
Description of contents:	Description [swbplus.bsz-bw.de]

Extent:	1 Online-Ressource(XI, 207 p. 67 illus.)
Series:	EURO Advanced Tutorials on Operational Research
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-61867-4 ; 978-3-030-61866-7 ; 978-3-030-61868-1 ; 978-3-030-61869-8
Other identifiers:	10.1007/978-3-030-61867-4 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012422812