From Shortest Paths to Reinforcement Learning

Paolo Brandimarte

ISBN 10: 3030618692 / ISBN 13: 9783030618698

Verlag: Springer, 2022

Beschreibung

New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEJUNE24-260015

Bibliografische Details

Titel: From Shortest Paths to Reinforcement Learning

Verlag: Springer

Erscheinungsdatum: 2022

Einband: Softcover

Zustand: Brand New

Über diesen Titel

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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.