Sequential Decision Analytics and Modeling : Modeling with Python

Warren B. Powell

ISBN 10: 1638280827 / ISBN 13: 9781638280828

Edité par Emerald Publishing Limited, 2022

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - Sequential decision problems arise in virtually every human process. They span finance, energy, transportation, health, e-commerce, and supply chains and include pure learning problems that arise in laboratory or field experiments. They even cover search algorithms to maximize uncertain functions. An important dimension of every problem setting is the need to make decisions in the presence of different forms of uncertainty and evolving information processes.Warren B. Powell's work in sequential decision problems started in the 1980s and spanned rail, energy, health, finance, e-commerce, supply chain management, and even learning for materials science. His work on a wide range of problems highlighted the importance of using a variety of methods. In the process, he came to realize that any sequential decision problem can be modeled using a single universal framework that involves searching over methods for making decisions.The goal of this book is to enable readers to understand how to approach, model and solve a sequential decision problem. To that end, it uses a teach-by-example style to illustrate a modeling framework that can represent any sequential decision problem. It tackles the challenge of designing methods, called policies, for making decisions and describes four classes of policies that are universal in that they span any method that might be used; whether from the academic literature or heuristics used in practice. While this does not mean that every problem can be solved immediately, the framework helps avoid the tendency in the academic literature of focusing on narrow classes of methods.

N° de réf. du vendeur 9781638280828

Détails bibliographiques

• Titre: Sequential Decision Analytics and Modeling : Modeling with Python
• Éditeur: Emerald Publishing Limited
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 1638280827
• ISBN à 13 chiffres: 9781638280828
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 240 L x 161 H x 22 P (en millimètres) 240 millimètres de largeur par 161 millimètres de hauteur par 22 millimètres de profondeur
• Poids: 649 grammes

A propos de ce titre

Synopsis

Sequential decision problems arise in virtually every human process. They span finance, energy, transportation, health, e-commerce, and supply chains and include pure learning problems that arise in laboratory or field experiments. They even cover search algorithms to maximize uncertain functions. An important dimension of every problem setting is the need to make decisions in the presence of different forms of uncertainty and evolving information processes.

Warren B. Powell’s work in sequential decision problems started in the 1980s and spanned rail, energy, health, finance, e-commerce, supply chain management, and even learning for materials science. His work on a wide range of problems highlighted the importance of using a variety of methods. In the process, he came to realize that any sequential decision problem can be modeled using a single universal framework that involves searching over methods for making decisions.

The goal of this book is to enable readers to understand how to approach, model and solve a sequential decision problem. To that end, it uses a teach-by-example style to illustrate a modeling framework that can represent any sequential decision problem. It tackles the challenge of designing methods, called policies, for making decisions and describes four classes of policies that are universal in that they span any method that might be used; whether from the academic literature or heuristics used in practice. While this does not mean that every problem can be solved immediately, the framework helps avoid the tendency in the academic literature of focusing on narrow classes of methods.