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From Shortest Paths to Reinforcement Learning
A MATLAB-Based Tutorial on Dynamic Programming
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Focusing on dynamic programming (DP), this book addresses its practical applications and implementation, countering its reputation for being computationally impractical. Utilizing MATLAB, it provides a hands-on tutorial that helps readers understand DP principles while encouraging experimentation. Aimed at practitioners and graduate students, it requires a basic understanding of probability and optimization, making it suitable for fields such as engineering, applied mathematics, management, finance, and economics.
Wydanie
Zakup książki
From Shortest Paths to Reinforcement Learning, Paolo Brandimarte
- Język
- Rok wydania
- 2022
- Oprawa
- (miękka)
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- Tytuł
- From Shortest Paths to Reinforcement Learning
- Podtytuł
- A MATLAB-Based Tutorial on Dynamic Programming
- Język
- angielski
- Autorzy
- Paolo Brandimarte
- Rok wydania
- 2022
- Oprawa
- miękka
- Liczba stron
- 220
- ISBN13
- 9783030618698
- Seria
- Kategorie
- Tagi
- Biznes
- Ocena
- 5 z 5
- Opis
- Focusing on dynamic programming (DP), this book addresses its practical applications and implementation, countering its reputation for being computationally impractical. Utilizing MATLAB, it provides a hands-on tutorial that helps readers understand DP principles while encouraging experimentation. Aimed at practitioners and graduate students, it requires a basic understanding of probability and optimization, making it suitable for fields such as engineering, applied mathematics, management, finance, and economics.
