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

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Paolo Brandimarte

From Shortest Paths to Reinforcement Learning

A MATLAB-Based Tutorial on Dynamic Programming

Paolo Brandimarte

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English

Springer Nature Switzerland AG
12 January 2022

Economic theory & philosophy; Finance & accounting; Operational research; Numerical analysis; Engineering: general

Series: EURO Advanced Tutorials on Operational Research

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.

By: Paolo Brandimarte
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2021
Dimensions: Height: 235mm, Width: 155mm,
Weight: 343g
ISBN: 9783030618698
ISBN 10: 3030618692
Series: EURO Advanced Tutorials on Operational Research
Pages: 207
Publication Date: 12 January 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.

Paolo Brandimarte is full professor at the Department of Mathematical Sciences of Politecnico di Torino, Italy, where he teaches courses on Business Analytics, Risk Management, and Operations Research. He is the author of more than ten books on the application of optimization and simulation methods to problems ranging from quantitative finance to production and supply chain management.