From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming by Brandimarte, Paolo

From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming (Paperback) (ISBN-13: 9783030618698)

Vendor: Paolo Brandimarte
Product type: Books
Format: Paperback
$69.99
$69.99
$69.99
Subtotal: $69.99
From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming by Brandimarte, Paolo

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

$69.99
From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming by Brandimarte, Paolo

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

$69.99
Format: Paperback
Description
Description
x
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.

Author: Paolo Brandimarte
ISBN-10: 3030618692
ISBN-13: 9783030618698
Publisher: Springer
Language: English
Published: 01/12/2022
Pages: 207
Format: Paperback
Weight: 0.69lbs
Size: 9.21h x 6.14w x 0.46d
By Paolo Brandimarte
By Paolo Brandimarte
x
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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