Das Buch ist derzeit nicht auf Lager
From Shortest Paths to Reinforcement Learning
A MATLAB-Based Tutorial on Dynamic Programming
Autor*innen
Buchbewertung
Parameter
- 220 Seiten
- 8 Lesestunden
Mehr zum Buch
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.
Buchkauf
From Shortest Paths to Reinforcement Learning, Paolo Brandimarte
- Sprache
- Erscheinungsdatum
- 2022
- product-detail.submit-box.info.binding
- (Paperback)
Wir benachrichtigen dich per E-Mail.
Hier könnte deine Bewertung stehen.
- Titel
- From Shortest Paths to Reinforcement Learning
- Untertitel
- A MATLAB-Based Tutorial on Dynamic Programming
- Sprache
- Englisch
- Autor*innen
- Paolo Brandimarte
- Erscheinungsdatum
- 2022
- Einband
- Paperback
- Seitenzahl
- 220
- ISBN13
- 9783030618698
- Reihe
- Schlagwörter
- Sachbücher, Handel, Wirtschaft & Management, Technologie & Industrie, Wissenschaft & Mathematik, Mathematik
- Bewertung
- 5 von 5 Sternen
- Beschreibung
- 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.