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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research) - Tapa blanda
Sinopsis
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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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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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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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
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030618692
ISBN 13: 9783030618698
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Condición: 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. Nº de ref. del artículo: 540229129
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From Shortest Paths to Reinforcement Learning
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From Shortest Paths to Reinforcement Learning
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Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 220 pp. Englisch. Nº de ref. del artículo: 9783030618698
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From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming
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Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030618692
ISBN 13: 9783030618698
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783030618698
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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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