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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming - Couverture souple
Synopsis
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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À propos de l?auteur
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.
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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming
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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research)
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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research)
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From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming
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From Shortest Paths to Reinforcement Learning
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3030618692
ISBN 13 : 9783030618698
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool.Dynamic programming (DP) has a relevant history as a powerful and flexible optimization pri. N° de réf. du vendeur 540229129
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From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming
Edité par
Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10 : 3030618692
ISBN 13 : 9783030618698
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 assumesbasic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics. N° de réf. du vendeur 9783030618698
Quantité disponible : 1 disponible(s)