Powell Warren B

Warren B Powell

Information about the author Warren B Powell will soon be added to the site.
Found 11 papers in total
Parallel Nonstationary Direct Policy Search for Risk-Averse Stochastic Optimization
Parallel Nonstationary Direct Policy Search for Risk-Averse Stochastic Optimization
2017
This paper presents an algorithmic strategy to nonstationary policy search for...
An Approximate Dynamic Programming Algorithm for Monotone Value Functions
An Approximate Dynamic Programming Algorithm for Monotone Value Functions
2015
Many sequential decision problems can be formulated as Markov decision processes...
SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology, and Policy
SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology, and Policy
2012
We address the problem of modeling energy resource allocation, including dispatch,...
The Knowledge‐Gradient Algorithm for Sequencing Experiments in Drug Discovery
The Knowledge‐Gradient Algorithm for Sequencing Experiments in Drug Discovery
2011
We present a new technique for adaptively choosing the sequence of molecular compounds...
Information Collection on a Graph
Information Collection on a Graph
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in...
Paradoxes in Learning and the Marginal Value of Information
Paradoxes in Learning and the Marginal Value of Information
2010
We consider the Bayesian ranking and selection problem, in which one wishes to...
Approximate Dynamic Programming Captures Fleet Operations for Schneider National
Approximate Dynamic Programming Captures Fleet Operations for Schneider National
2010
Schneider National needed a simulation model that would capture the dynamics of its...
Optimal control of dosage decisions in controlled ovarian hyperstimulation
Optimal control of dosage decisions in controlled ovarian hyperstimulation
2010
In the controlled ovarian hyperstimulation (COH) cycle of the in vitro...
Merging AI and OR to solve high-dimensional stochastic optimization problems using approximate dynamic programming
Merging AI and OR to solve high-dimensional stochastic optimization problems using approximate dynamic programming
2010
We consider the problem of optimizing over time hundreds or thousands of discrete...
What you should know about approximate dynamic programming
What you should know about approximate dynamic programming
2009
Approximate dynamic programming (ADP) is a broad umbrella for a modeling and...
An approximate dynamic programming algorithm for large-scale fleet management: A case application
An approximate dynamic programming algorithm for large-scale fleet management: A case application
2009
We addressed the problem of developing a model to simulate at a high level of detail...
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