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From Shortest Paths to Reinforcement Learning: A Matlab-based Tutorial on Dynamic Programming - Rilegato

Libro 12 di 15: EURO Advanced Tutorials on Operational Research

Brandimarte, Paolo

 
9783030618667: From Shortest Paths to Reinforcement Learning: A Matlab-based Tutorial on Dynamic Programming
Rilegato
ISBN 10: 3030618668 ISBN 13: 9783030618667
Casa editrice: Springer Nature, 2021

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
3030618668
ISBN 13 
9783030618667
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
220
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