Warren B. Powell
Orcid: 0000-0002-4364-7555Affiliations:
- Princeton University, Department of Operations Research and Financial Engineering
According to our database1,
Warren B. Powell
authored at least 186 papers
between 1982 and 2024.
Collaborative distances:
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Bibliography
2024
Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts.
Eur. J. Oper. Res., January, 2024
Correction to: Asymptotically optimal Bayesian sequential change detection and identification rules.
Ann. Oper. Res., January, 2024
2023
Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic.
Eur. J. Oper. Res., 2023
2022
SIAM J. Optim., 2022
Adaptive Learning of Drug Quality and Optimization of Patient Recruitment for Clinical Trials with Dropouts.
Manuf. Serv. Oper. Manag., 2022
Found. Trends Technol. Inf. Oper. Manag., 2022
Found. Trends Technol. Inf. Oper. Manag., 2022
The Parametric Cost Function Approximation: A new approach for multistage stochastic programming.
CoRR, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
2020
SIAM J. Sci. Comput., 2020
Oper. Res., 2020
Oper. Res., 2020
Least squares policy iteration with instrumental variables vs. direct policy search: comparison against optimal benchmarks using energy storage.
INFOR Inf. Syst. Oper. Res., 2020
Eur. J. Oper. Res., 2020
Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles.
Eur. J. Oper. Res., 2020
2019
IEEE Trans. Autom. Control., 2019
From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions.
CoRR, 2019
Commun. ACM, 2019
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019
Meta-learning of Bidding Agent with Knowledge Gradient in a Fully Agent-based Sponsored Search Auction Simulator.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Co-Optimizing Battery Storage for the Frequency Regulation and Energy Arbitrage Using Multi-Scale Dynamic Programming.
IEEE Trans. Smart Grid, 2018
IEEE Trans. Smart Grid, 2018
Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models.
SIAM J. Optim., 2018
Optimal Learning for Nonlinear Parametric Belief Models Over Multidimensional Continuous Spaces.
SIAM J. Optim., 2018
Regularized Decomposition of High-Dimensional Multistage Stochastic Programs with Markov Uncertainty.
SIAM J. Optim., 2018
SIAM J. Control. Optim., 2018
Math. Oper. Res., 2018
Scenario Generation Methods that Replicate Crossing Times in Spatially Distributed Stochastic Systems.
SIAM/ASA J. Uncertain. Quantification, 2018
Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy Storage.
INFORMS J. Comput., 2018
A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model.
INFORMS J. Comput., 2018
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles.
CoRR, 2018
2017
IEEE Trans. Smart Grid, 2017
ADAPT: A Price-Stabilizing Compliance Policy for Renewable Energy Certificates: The Case of SREC Markets.
Oper. Res., 2017
INFORMS J. Comput., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
2016
From Single Commodity to Multiattribute Models for Locomotive Optimization: A Comparison of Optimal Integer Programming and Approximate Dynamic Programming.
Transp. Sci., 2016
A Recursive Local Polynomial Approximation Method Using Dirichlet Clouds and Radial Basis Functions.
SIAM J. Sci. Comput., 2016
The Information-Collecting Vehicle Routing Problem: Stochastic Optimization for Emergency Storm Response.
CoRR, 2016
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
IEEE Trans. Autom. Control., 2015
Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science.
SIAM J. Sci. Comput., 2015
Math. Oper. Res., 2015
Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability.
SIAM/ASA J. Uncertain. Quantification, 2015
Oper. Res., 2015
Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage Using Approximate Dynamic Programming.
INFORMS J. Comput., 2015
2014
J. Glob. Optim., 2014
Locomotive Planning at Norfolk Southern: An Optimizing Simulator Using Approximate Dynamic Programming.
Interfaces, 2014
Least Squares Policy Iteration with Instrumental Variables vs. Direct Policy Search: Comparison Against Optimal Benchmarks Using Energy Storage.
CoRR, 2014
AI Mag., 2014
Proceedings of the 2014 Winter Simulation Conference, 2014
A comparison of approximate dynamic programming techniques on benchmark energy storage problems: Does anything work?
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Guest Editorial: Introduction to the special section on optimization methods and algorithms applied to smart grid.
IEEE Trans. Smart Grid, 2013
An Optimal Approximate Dynamic Programming Algorithm for Concave, Scalar Storage Problems With Vector-Valued Controls.
IEEE Trans. Autom. Control., 2013
Asymptotically optimal Bayesian sequential change detection and identification rules.
Ann. Oper. Res., 2013
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
SIAM J. Optim., 2012
Oper. Res., 2012
SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology, and Policy.
INFORMS J. Comput., 2012
Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation.
Eur. J. Oper. Res., 2012
Approximate dynamic programming in transportation and logistics: a unified framework.
EURO J. Transp. Logist., 2012
Proceedings of the Winter Simulation Conference, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
The Effect of Robust Decisions on the Cost of Uncertainty in Military Airlift Operations.
ACM Trans. Model. Comput. Simul., 2011
The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression.
SIAM J. Optim., 2011
The value of information in multi-armed bandits with exponentially distributed rewards.
Proceedings of the International Conference on Computational Science, 2011
INFORMS J. Comput., 2011
Proceedings of the Winter Simulation Conference 2011, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Evolutionary Policy Iteration Under a Sampling Regime for Stochastic Combinatorial Optimization.
IEEE Trans. Autom. Control., 2010
Minimizing total tardiness in a stochastic single machine scheduling problem using approximate dynamic programming.
J. Sched., 2010
Proceedings of the International Conference on Computational Science, 2010
Manag. Sci., 2010
Interfaces, 2010
Rejoinder - The Languages of Stochastic Optimization.
INFORMS J. Comput., 2010
Feature Article - Merging AI and OR to Solve High-Dimensional Stochastic Optimization Problems Using Approximate Dynamic Programming.
INFORMS J. Comput., 2010
Ann. Oper. Res., 2010
Calibrating simulation models using the knowledge gradient with continuous parameters.
Proceedings of the 2010 Winter Simulation Conference, 2010
Proceedings of the 2010 Winter Simulation Conference, 2010
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application.
Transp. Sci., 2009
ACM Trans. Model. Comput. Simul., 2009
An Optimal Approximate Dynamic Programming Algorithm for the Lagged Asset Acquisition Problem.
Math. Oper. Res., 2009
INFORMS J. Comput., 2009
Capturing incomplete information in resource allocation problems through numerical patterns.
Eur. J. Oper. Res., 2009
A Monte Carlo Knowledge Gradient Method for Learning Abatement Potential of Emissions Reduction Technologies.
Proceedings of the 2009 Winter Simulation Conference, 2009
Proceedings of the 2009 Winter Simulation Conference, 2009
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009
09181 Executive Summary - Sampling-based Optimization in the Presence of Uncertainty.
Proceedings of the Sampling-based Optimization in the Presence of Uncertainty, 26.04., 2009
09181 Abstracts Collection - Sampling-based Optimization in the Presence of Uncertainty.
Proceedings of the Sampling-based Optimization in the Presence of Uncertainty, 26.04., 2009
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
A convergent recursive least squares approximate policy iteration algorithm for multi-dimensional Markov decision process with continuous state and action spaces.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2008
SIAM J. Control. Optim., 2008
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
2007
Incorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem.
Transp. Sci., 2007
Monotonicity in multidimensional Markov decision processes for the batch dispatch problem.
Oper. Res. Lett., 2007
Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming.
Oper. Res., 2007
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming.
Proceedings of the Winter Simulation Conference, 2007
Proceedings of the ATMOS 2007, 2007
Proceedings of the Transportation, 2007
Wiley, ISBN: 978-0-470-18296-3, 2007
2006
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming.
Mach. Learn., 2006
Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems.
INFORMS J. Comput., 2006
A Metastrategy for Large-Scale Resource Management Based on Informational Decomposition.
INFORMS J. Comput., 2006
Eur. J. Oper. Res., 2006
2005
A Distributed Decision-Making Structure for Dynamic Resource Allocation Using Nonlinear Functional Approximations.
Oper. Res., 2005
Proceedings of the Applications of Stochastic Programming, 2005
2004
Learning Algorithms for Separable Approximations of Discrete Stochastic Optimization Problems.
Math. Oper. Res., 2004
2003
An algorithm for approximating piecewise linear concave functions from sample gradients.
Oper. Res. Lett., 2003
Proceedings of the Supply Chain Management: Design, Coordination and Operation, 2003
2002
An Adaptive Dynamic Programming Algorithm for the Heterogeneous Resource Allocation Problem.
Transp. Sci., 2002
An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, II: Multiperiod Travel Times.
Transp. Sci., 2002
An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times.
Transp. Sci., 2002
Implementing Real-Time Optimization Models: A Case Application From The Motor Carrier Industry.
Oper. Res., 2002
Exploiting structure in adaptive dynamic programming algorithms for a stochastic batch service problem.
Eur. J. Oper. Res., 2002
2001
INFORMS J. Comput., 2001
Ann. Oper. Res., 2001
2000
On the Value of Optimal Myopic Solutions for Dynamic Routing and Scheduling Problems in the Presence of User Noncompliance.
Transp. Sci., 2000
Transp. Sci., 2000
Shape - a Stochastic Hybrid Approximation Procedure for Two-Stage Stochastic Programs.
Oper. Res., 2000
1999
INFORMS J. Comput., 1999
A column generation based decomposition algorithm for a parallel machine just-in-time scheduling problem.
Eur. J. Oper. Res., 1999
1998
Transp. Sci., 1998
Transp. Sci., 1998
1997
Proceedings of the Network Design: Connectivity and Facilities Location, 1997
1996
A Stochastic Formulation of the Dynamic Assignment Problem, with an Application to Truckload Motor Carriers.
Transp. Sci., 1996
Transp. Sci., 1996
An Algorithm for Multistage Dynamic Networks with Random Arc Capacities, with an Application to Dynamic Fleet Management.
Oper. Res., 1996
Ann. Oper. Res., 1996
1995
1994
Transp. Sci., 1994
A network recourse decomposition method for dynamic networks with random arc capacities.
Networks, 1994
1993
Math. Program., 1993
A Primal Partitioning Solution for the Arc-Chain Formulation of a Multicommodity Network Flow Problem.
Oper. Res., 1993
1992
Numerical Methods for Simulating Transient, Stochastic Queueing Networks - II: Experimental Design.
Transp. Sci., 1992
Numerical Methods for Simulating Transient, Stochastic Queueing Networks - I: Methodology.
Transp. Sci., 1992
An Optimization-Based Heuristic for Vehicle Routing and Scheduling with Soft Time Window Constraints.
Transp. Sci., 1992
1991
Transp. Sci., 1991
1990
Selected Abstracts for the 1989 Transportation Science Section Dissertation Prize Competition.
Transp. Sci., 1990
A Successive Linear Approximation Procedure for Stochastic, Dynamic Vehicle Allocation Problems.
Transp. Sci., 1990
Oper. Res., 1990
1989
A Review of Sensitivity Results for Linear Networks and a New Approximation to Reduce the Effects of Degeneracy.
Transp. Sci., 1989
OR Practice - Design and Implementation of an Interactive Optimization System for Network Design in the Motor Carrier Industry.
Oper. Res., 1989
1986
A Local Improvement Heuristic for the Design of Less-than-Truckload Motor Carrier Networks.
Transp. Sci., 1986
Iterative Algorithms for Bulk Arrival, Bulk Service Queues with Poisson and Non-Poisson Arrivals.
Transp. Sci., 1986
Transp. Sci., 1986
The Bulk Service Queue with a General Control Strategy: Theoretical Analysis and a New Computational Procedure.
Oper. Res., 1986
1985
Analysis of Vehicle Holding and Cancellation Strategies in Bulk Arrival, Bulk Service Queues.
Transp. Sci., 1985
1982
Networks, 1982