Sequential Decision problems arise in virtually every human process.
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..
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.
To that end, it uses a teach-by-example style to illustrate a Modeling framework that can represent any Sequential Decision problem.
The goal of this book is to enable readers to understand how to approach, model and solve a Sequential Decision problem.
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.
His work on a wide range of problems highlighted the importance of using a variety of methods.
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.
Warren B.
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.
They even cover search algorithms to maximize uncertain functions.
They span finance, energy, transportation, health, e-commerce, and supply chains and include pure learning problems that arise in laboratory or field experiments.
Sequential Decision problems arise in virtually every human process
