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ORCIDWarren B. Powell
Warren Buckler Powell
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- affiliation: Princeton University, Department of Operations Research and Financial Engineering, NJ, USA
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2020 – today
- 2024
[j136]Savas Dayanik, Warren B. Powell, Kazutoshi Yamazaki:
Correction to: Asymptotically optimal Bayesian sequential change detection and identification rules. Ann. Oper. Res. 332(1): 1275-1276 (2024)- [j135]Saeed Ghadimi
, Warren B. Powell:
Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts. Eur. J. Oper. Res. 312(2): 641-652 (2024) - 2023
- [j134]Lawrence Thul, Warren B. Powell:
Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic. Eur. J. Oper. Res. 304(1): 325-338 (2023) - 2022
- [j133]Warren B. Powell:
Sequential Decision Analytics and Modeling: Modeling with Python - Part I. Found. Trends Technol. Inf. Oper. Manag. 15(4): 325-456 (2022) - [j132]Warren B. Powell:
Sequential Decision Analytics and Modeling: Modeling with Python - Part II. Found. Trends Technol. Inf. Oper. Manag. 16(1-2): 1-176 (2022) - [j131]Zhili Tian, Weidong Han, Warren B. Powell:
Adaptive Learning of Drug Quality and Optimization of Patient Recruitment for Clinical Trials with Dropouts. Manuf. Serv. Oper. Manag. 24(1): 580-599 (2022) - [j130]Dionysios S. Kalogerias, Warren B. Powell:
Zeroth-Order Stochastic Compositional Algorithms for Risk-Aware Learning. SIAM J. Optim. 32(2): 386-416 (2022) - [c34]Donghun Lee, Warren B. Powell:
Online Learning with Regularized Knowledge Gradients. PAKDD (2) 2022: 328-339 - [i19]Warren B. Powell, Saeed Ghadimi:
The Parametric Cost Function Approximation: A new approach for multistage stochastic programming. CoRR abs/2201.00258 (2022) - 2021
- [i18]Lawrence Thul, Warren B. Powell:
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic. CoRR abs/2101.01204 (2021) - 2020
- [j129]Lina Al-Kanj, Juliana M. Nascimento, Warren B. Powell:
Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles. Eur. J. Oper. Res. 284(3): 1088-1106 (2020) - [j128]Raimund M. Kovacevic, Carlo Meloni, Dario Pacciarelli, Warren B. Powell:
Guest editorial to the featured cluster "Advances in stochastic optimization". Eur. J. Oper. Res. 285(1): 1-2 (2020) - [j127]Somayeh Moazeni, Warren R. Scott, Warren B. Powell:
Least squares policy iteration with instrumental variables vs. direct policy search: comparison against optimal benchmarks using energy storage. INFOR Inf. Syst. Oper. Res. 58(1): 141-166 (2020) - [j126]Weidong Han, Warren B. Powell:
Optimal Online Learning for Nonlinear Belief Models Using Discrete Priors. Oper. Res. 68(5): 1538-1556 (2020) - [j125]Daniel R. Jiang, Lina Al-Kanj, Warren B. Powell:
Optimistic Monte Carlo Tree Search with Sampled Information Relaxation Dual Bounds. Oper. Res. 68(6): 1678-1697 (2020) - [j124]Xinyu He, Kristofer G. Reyes, Warren B. Powell:
Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs. SIAM J. Sci. Comput. 42(4): A2134-A2157 (2020) - [i17]Warren B. Powell:
On State Variables, Bandit Problems and POMDPs. CoRR abs/2002.06238 (2020) - [i16]Kristofer G. Reyes, Warren B. Powell:
Optimal Learning for Sequential Decisions in Laboratory Experimentation. CoRR abs/2004.05417 (2020)
2010 – 2019
- 2019
- [j123]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [j122]Warren B. Powell:
A unified framework for stochastic optimization. Eur. J. Oper. Res. 275(3): 795-821 (2019) - [j121]Ilya O. Ryzhov, Martijn R. K. Mes, Warren B. Powell, Gerald van den Berg:
Bayesian Exploration for Approximate Dynamic Programming. Oper. Res. 67(1): 198-214 (2019) - [j120]Donghun Lee, Warren B. Powell:
Bias-Corrected Q-Learning With Multistate Extension. IEEE Trans. Autom. Control. 64(10): 4011-4023 (2019) - [j119]Yixiao Huang, Lei Zhao, Warren B. Powell, Yue Tong, Ilya O. Ryzhov:
Optimal Learning for Urban Delivery Fleet Allocation. Transp. Sci. 53(3): 623-641 (2019) - [c33]Donghun Lee, Warren B. Powell:
Meta-learning of Bidding Agent with Knowledge Gradient in a Fully Agent-based Sponsored Search Auction Simulator. AAMAS 2019: 2090-2092 - [c32]Yura Oh, Warren B. Powell:
Optimal Policies for Routing Multi Sensor-Effector Combined Autonomous Devices. MRS 2019: 182-184 - [i15]Warren B. Powell:
From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions. CoRR abs/1912.03513 (2019) - [i14]Dionysios S. Kalogerias, Warren B. Powell:
Zeroth-order Stochastic Compositional Algorithms for Risk-Aware Learning. CoRR abs/1912.09484 (2019) - 2018
- [j118]Daniel F. Salas, Warren B. Powell:
Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy Storage. INFORMS J. Comput. 30(1): 106-123 (2018) - [j117]Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia M. Contreras, Warren B. Powell:
A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model. INFORMS J. Comput. 30(4): 750-767 (2018) - [j116]Joseph Durante, Raj Patel, Warren B. Powell:
Scenario Generation Methods that Replicate Crossing Times in Spatially Distributed Stochastic Systems. SIAM/ASA J. Uncertain. Quantification 6(2): 596-626 (2018) - [j115]Daniel R. Jiang, Warren B. Powell:
Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures. Math. Oper. Res. 43(2): 554-579 (2018) - [j114]Yingfei Wang, Warren B. Powell:
Finite-Time Analysis for the Knowledge-Gradient Policy. SIAM J. Control. Optim. 56(2): 1105-1129 (2018) - [j113]Tsvetan Asamov, Warren B. Powell:
Regularized Decomposition of High-Dimensional Multistage Stochastic Programs with Markov Uncertainty. SIAM J. Optim. 28(1): 575-595 (2018) - [j112]Xinyu He, Warren B. Powell:
Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models. SIAM J. Optim. 28(3): 2327-2359 (2018) - [j111]Xinyu He, Yangzhou Hu, Warren B. Powell:
Optimal Learning for Nonlinear Parametric Belief Models Over Multidimensional Continuous Spaces. SIAM J. Optim. 28(4): 2945-2974 (2018) - [j110]Bolong Cheng, Warren B. Powell:
Co-Optimizing Battery Storage for the Frequency Regulation and Energy Arbitrage Using Multi-Scale Dynamic Programming. IEEE Trans. Smart Grid 9(3): 1997-2005 (2018) - [j109]Bolong Cheng, Tsvetan Asamov, Warren B. Powell:
Low-Rank Value Function Approximation for Co-Optimization of Battery Storage. IEEE Trans. Smart Grid 9(6): 6590-6598 (2018) - [i13]Yingfei Wang, Juliana Martins Do Nascimento, Warren B. Powell:
Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets. CoRR abs/1802.08976 (2018) - [i12]Lina Al-Kanj, Juliana M. Nascimento, Warren B. Powell:
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles. CoRR abs/1810.08124 (2018) - 2017
- [j108]Somayeh Moazeni, Warren B. Powell, Boris Defourny, Belgacem Bouzaïene-Ayari:
Parallel Nonstationary Direct Policy Search for Risk-Averse Stochastic Optimization. INFORMS J. Comput. 29(2): 332-349 (2017) - [j107]Javad Khazaei, Michael Coulon, Warren B. Powell:
ADAPT: A Price-Stabilizing Compliance Policy for Renewable Energy Certificates: The Case of SREC Markets. Oper. Res. 65(6): 1429-1445 (2017) - [j106]Lina Al-Kanj, Belgacem Bouzaïene-Ayari, Warren B. Powell:
A Probability Model for Grid Faults Using Incomplete Information. IEEE Trans. Smart Grid 8(2): 956-968 (2017) - [c31]Donghun Lee, Piotr Ziolo, Weidong Han, Warren B. Powell:
Optimal online learning in bidding for sponsored search auctions. SSCI 2017: 1-8 - [i11]Daniel R. Jiang, Lina Al-Kanj, Warren B. Powell:
Monte Carlo Tree Search with Sampled Information Relaxation Dual Bounds. CoRR abs/1704.05963 (2017) - [i10]Yingfei Wang, Warren B. Powell:
MOLTE: a Modular Optimal Learning Testing Environment. CoRR abs/1709.04553 (2017) - 2016
- [j105]Warren B. Powell:
Perspectives of approximate dynamic programming. Ann. Oper. Res. 241(1-2): 319-356 (2016) - [j104]Arta A. Jamshidi, Warren B. Powell:
A Recursive Local Polynomial Approximation Method Using Dirichlet Clouds and Radial Basis Functions. SIAM J. Sci. Comput. 38(4) (2016) - [j103]Belgacem Bouzaïene-Ayari, Clark Cheng, Sourav Das, Ricardo Fiorillo, Warren B. Powell:
From Single Commodity to Multiattribute Models for Locomotive Optimization: A Comparison of Optimal Integer Programming and Approximate Dynamic Programming. Transp. Sci. 50(2): 366-389 (2016) - [c30]Yan Li, Han Liu, Warren B. Powell:
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning. AISTATS 2016: 417-425 - [c29]Yingfei Wang, Chu Wang, Warren B. Powell:
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks. ICML 2016: 1138-1147 - [i9]Lina Al-Kanj, Warren B. Powell, Belgacem Bouzaïene-Ayari:
The Information-Collecting Vehicle Routing Problem: Stochastic Optimization for Emergency Storm Response. CoRR abs/1605.05711 (2016) - [i8]Yingfei Wang, Warren B. Powell:
Finite-time Analysis for the Knowledge-Gradient Policy. CoRR abs/1606.04624 (2016) - [i7]Yingfei Wang, Warren B. Powell:
An optimal learning method for developing personalized treatment regimes. CoRR abs/1607.01462 (2016) - 2015
- [j102]Daniel R. Jiang, Warren B. Powell:
Optimal Hour-Ahead Bidding in the Real-Time Electricity Market with Battery Storage Using Approximate Dynamic Programming. INFORMS J. Comput. 27(3): 525-543 (2015) - [j101]Daniel R. Jiang, Warren B. Powell:
An Approximate Dynamic Programming Algorithm for Monotone Value Functions. Oper. Res. 63(6): 1489-1511 (2015) - [j100]Bolong Cheng, Arta A. Jamshidi, Warren B. Powell:
Optimal learning with a local parametric belief model. J. Glob. Optim. 63(2): 401-425 (2015) - [j99]Si Chen, Kristofer-Roy G. Reyes, Maneesh K. Gupta, Michael C. McAlpine, Warren B. Powell:
Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability. SIAM/ASA J. Uncertain. Quantification 3(1): 320-345 (2015) - [j98]Boris Defourny, Ilya O. Ryzhov, Warren B. Powell:
Optimal Information Blending with Measurements in the L2 Sphere. Math. Oper. Res. 40(4): 1060-1088 (2015) - [j97]Yingfei Wang, Kristofer G. Reyes, Keith A. Brown, Chad A. Mirkin, Warren B. Powell:
Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science. SIAM J. Sci. Comput. 37(3) (2015) - [j96]Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell:
A New Optimal Stepsize for Approximate Dynamic Programming. IEEE Trans. Autom. Control. 60(3): 743-758 (2015) - [i6]Yan Li, Han Liu, Warren B. Powell:
The Knowledge Gradient Policy Using A Sparse Additive Belief Model. CoRR abs/1503.05567 (2015) - [i5]Daniel R. Jiang, Warren B. Powell:
Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures. CoRR abs/1509.01920 (2015) - 2014
- [j95]Warren B. Powell:
Energy and Uncertainty: Models and Algorithms for Complex Energy Systems. AI Mag. 35(3): 8-21 (2014) - [j94]Warren B. Powell, Belgacem Bouzaïene-Ayari, Coleman Lawrence, Clark Cheng, Sourav Das, Ricardo Fiorillo:
Locomotive Planning at Norfolk Southern: An Optimizing Simulator Using Approximate Dynamic Programming. Interfaces 44(6): 567-578 (2014) - [j93]Emre Barut, Warren B. Powell:
Optimal learning for sequential sampling with non-parametric beliefs. J. Glob. Optim. 58(3): 517-543 (2014) - [j92]Lauren A. Hannah, Warren B. Powell, David B. Dunson:
Semiconvex Regression for Metamodeling-Based Optimization. SIAM J. Optim. 24(2): 573-597 (2014) - [j91]Diego Klabjan, Warren B. Powell:
Guest Editorial: Special Issue on Energy and Transportation. Transp. Sci. 48(4): 465-466 (2014) - [c28]Daniel R. Jiang, Thuy V. Pham, Warren B. Powell, Daniel F. Salas, Warren R. Scott:
A comparison of approximate dynamic programming techniques on benchmark energy storage problems: Does anything work? ADPRL 2014: 1-8 - [c27]Michael C. Fu, Güzin Bayraksan, Shane G. Henderson, Barry L. Nelson, Warren B. Powell, Ilya O. Ryzhov, Benjamin G. Thengvall:
Simulation optimization: a panel on the state of the art in research and practice. WSC 2014: 3696-3706 - [i4]Warren R. Scott, Warren B. Powell, Somayeh Moazehi:
Least Squares Policy Iteration with Instrumental Variables vs. Direct Policy Search: Comparison Against Optimal Benchmarks Using Energy Storage. CoRR abs/1401.0843 (2014) - [i3]Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell:
A New Optimal Stepsize For Approximate Dynamic Programming. CoRR abs/1407.2676 (2014) - 2013
- [j90]Savas Dayanik, Warren B. Powell, Kazutoshi Yamazaki:
Asymptotically optimal Bayesian sequential change detection and identification rules. Ann. Oper. Res. 208(1): 337-370 (2013) - [j89]Juliana M. Nascimento, Warren B. Powell:
An Optimal Approximate Dynamic Programming Algorithm for Concave, Scalar Storage Problems With Vector-Valued Controls. IEEE Trans. Autom. Control. 58(12): 2995-3010 (2013) - [j88]Yongpei Guan, Yong Fu, Cong Liu, Warren B. Powell, Sarah M. Ryan, Jean-Paul Watson, Lei Wu:
Guest Editorial: Introduction to the special section on optimization methods and algorithms applied to smart grid. IEEE Trans. Smart Grid 4(4): 2121 (2013) - [j87]Hugo P. Simão, H. B. Jeong, Boris Defourny, Warren B. Powell, Albert Boulanger, Ashish Gagneja, L. Wu, R. N. Anderson:
A Robust Solution to the Load Curtailment Problem. IEEE Trans. Smart Grid 4(4): 2209-2219 (2013) - [c26]Donghun Lee, Boris Defourny, Warren B. Powell:
Bias-corrected Q-learning to control max-operator bias in Q-learning. ADPRL 2013: 93-99 - [c25]Boris Defourny, Hugo P. Simão, Warren B. Powell:
Robust Forecasting for Unit Commitment with Wind. HICSS 2013: 2337-2344 - [c24]Bolong Cheng, Arta A. Jamshidi, Warren B. Powell:
The knowledge gradient algorithm using locally parametric approximations. WSC 2013: 856-867 - 2012
- [j86]Warren B. Powell, Hugo P. Simão, Belgacem Bouzaïene-Ayari:
Approximate dynamic programming in transportation and logistics: a unified framework. EURO J. Transp. Logist. 1(3): 237-284 (2012) - [j85]Miao He, Lei Zhao, Warren B. Powell:
Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation. Eur. J. Oper. Res. 222(2): 328-340 (2012) - [j84]Warren B. Powell, Abraham P. George, Hugo P. Simão, Warren R. Scott, Alan Lamont, Jeffrey Stewart:
SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology, and Policy. INFORMS J. Comput. 24(4): 665-682 (2012) - [j83]Ilya O. Ryzhov, Warren B. Powell, Peter I. Frazier:
The Knowledge Gradient Algorithm for a General Class of Online Learning Problems. Oper. Res. 60(1): 180-195 (2012) - [j82]Ilya O. Ryzhov, Warren B. Powell:
Information Collection for Linear Programs with Uncertain Objective Coefficients. SIAM J. Optim. 22(4): 1344-1368 (2012) - [c23]Donghun Lee, Warren B. Powell:
An Intelligent Battery Controller Using Bias-Corrected Q-learning. AAAI 2012: 316-322 - [c22]Ilya O. Ryzhov, Boris Defourny, Warren B. Powell:
Ranking and selection meets robust optimization. WSC 2012: 48:1-48:11 - 2011
- [j81]Diana M. Negoescu, Peter I. Frazier, Warren B. Powell:
The Knowledge-Gradient Algorithm for Sequencing Experiments in Drug Discovery. INFORMS J. Comput. 23(3): 346-363 (2011) - [j80]Ilya O. Ryzhov, Warren B. Powell:
Information Collection on a Graph. Oper. Res. 59(1): 188-201 (2011) - [j79]Jae Ho Kim, Warren B. Powell:
Optimal Energy Commitments with Storage and Intermittent Supply. Oper. Res. 59(6): 1347-1360 (2011) - [j78]Lauren Hannah, David M. Blei, Warren B. Powell:
Dirichlet Process Mixtures of Generalized Linear Models. J. Mach. Learn. Res. 12: 1923-1953 (2011) - [j77]Martijn R. K. Mes, Warren B. Powell, Peter I. Frazier:
Hierarchical Knowledge Gradient for Sequential Sampling. J. Mach. Learn. Res. 12: 2931-2974 (2011) - [j76]Roger Anderson, Albert Boulanger, Warren B. Powell, Warren R. Scott:
Adaptive Stochastic Control for the Smart Grid. Proc. IEEE 99(6): 1098-1115 (2011) - [j75]Peter I. Frazier, Warren B. Powell:
Consistency of Sequential Bayesian Sampling Policies. SIAM J. Control. Optim. 49(2): 712-731 (2011) - [j74]Warren R. Scott, Peter I. Frazier, Warren B. Powell:
The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression. SIAM J. Optim. 21(3): 996-1026 (2011) - [j73]Warren B. Powell, Belgacem Bouzaïene-Ayari, Jean Berger, Abdeslem Boukhtouta, Abraham P. George:
The Effect of Robust Decisions on the Cost of Uncertainty in Military Airlift Operations. ACM Trans. Model. Comput. Simul. 22(1): 1:1-1:19 (2011) - [c21]Ilya O. Ryzhov, Warren B. Powell:
Bayesian active learning with basis functions. ADPRL 2011: 143-150 - [c20]Abdeslem Boukhtouta, Jean Berger, Warren B. Powell, Abraham P. George:
An adaptive-learning framework for semi-cooperative multi-agent coordination. ADPRL 2011: 324-331 - [c19]Ilya O. Ryzhov, Awais Tariq, Warren B. Powell:
May the best man win: simulation optimization for match-making in e-sports. WSC 2011: 4239-4250 - [c18]Ilya O. Ryzhov, Warren B. Powell:
The value of information in multi-armed bandits with exponentially distributed rewards. ICCS 2011: 1363-1372 - 2010
- [j72]Miao He, Lei Zhao, Warren B. Powell:
Optimal control of dosage decisions in controlled ovarian hyperstimulation. Ann. Oper. Res. 178(1): 223-245 (2010) - [j71]Peter I. Frazier, Warren B. Powell:
Paradoxes in Learning and the Marginal Value of Information. Decis. Anal. 7(4): 378-403 (2010) - [j70]Warren B. Powell:
Feature Article - Merging AI and OR to Solve High-Dimensional Stochastic Optimization Problems Using Approximate Dynamic Programming. INFORMS J. Comput. 22(1): 2-17 (2010) - [j69]Warren B. Powell:
Rejoinder - The Languages of Stochastic Optimization. INFORMS J. Comput. 22(1): 23-25 (2010) - [j68]Hugo P. Simão, Abraham P. George, Warren B. Powell, Ted Gifford, John Nienow, Jeff Day:
Approximate Dynamic Programming Captures Fleet Operations for Schneider National. Interfaces 40(5): 342-352 (2010) - [j67]Juliana M. Nascimento, Warren B. Powell:
Dynamic Programming Models and Algorithms for the Mutual Fund Cash Balance Problem. Manag. Sci. 56(5): 801-815 (2010) - [j66]Débora P. Ronconi, Warren B. Powell:
Minimizing total tardiness in a stochastic single machine scheduling problem using approximate dynamic programming. J. Sched. 13(6): 597-607 (2010) - [j65]Lauren Hannah, Warren B. Powell:
Evolutionary Policy Iteration Under a Sampling Regime for Stochastic Combinatorial Optimization. IEEE Trans. Autom. Control. 55(5): 1254-1257 (2010) - [c17]Ilya O. Ryzhov, Warren B. Powell:
Approximate dynamic programming with correlated Bayesian beliefs. Allerton 2010: 1360-1367 - [c16]Lauren Hannah, Warren B. Powell, David M. Blei:
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable. NIPS 2010: 820-828 - [c15]Ilya O. Ryzhov, Martin R. Valdez-Vivas, Warren B. Powell:
Optimal learning of transition probabilities in the two-agent newsvendor problem. WSC 2010: 1088-1098 - [c14]Warren R. Scott, Warren B. Powell, Hugo P. Simão:
Calibrating simulation models using the knowledge gradient with continuous parameters. WSC 2010: 1099-1109 - [c13]Lauren Hannah, David M. Blei, Warren B. Powell:
Dirichlet Process Mixtures of Generalized Linear Models. AISTATS 2010: 313-320 - [c12]Ilya O. Ryzhov, Peter I. Frazier, Warren B. Powell:
On the robustness of a one-period look-ahead policy in multi-armed bandit problems. ICCS 2010: 1635-1644
2000 – 2009
- 2009
- [j64]Arun Marar, Warren B. Powell:
Capturing incomplete information in resource allocation problems through numerical patterns. Eur. J. Oper. Res. 197(1): 50-58 (2009) - [j63]Peter I. Frazier, Warren B. Powell, Savas Dayanik:
The Knowledge-Gradient Policy for Correlated Normal Beliefs. INFORMS J. Comput. 21(4): 599-613 (2009) - [j62]Juliana M. Nascimento, Warren B. Powell:
An Optimal Approximate Dynamic Programming Algorithm for the Lagged Asset Acquisition Problem. Math. Oper. Res. 34(1): 210-237 (2009) - [j61]Tongqiang Tony Wu, Warren B. Powell, Alan Whisman:
The optimizing-simulator: An illustration using the military airlift problem. ACM Trans. Model. Comput. Simul. 19(3): 14:1-14:31 (2009) - [j60]Hugo P. Simão, Jeff Day, Abraham P. George, Ted Gifford, John Nienow, Warren B. Powell:
An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application. Transp. Sci. 43(2): 178-197 (2009) - [c11]Jun Ma, Warren B. Powell:
A convergent recursive least squares approximate policy iteration algorithm for multi-dimensional Markov decision process with continuous state and action spaces. ADPRL 2009: 66-73 - [c10]Ilya O. Ryzhov, Warren B. Powell:
The knowledge gradient algorithm for online subset selection. ADPRL 2009: 137-144 - [c9]Peter I. Frazier, Warren B. Powell, Savas Dayanik, Paul B. Kantor:
Approximate Dynamic Programming in Knowledge Discovery for Rapid Response. HICSS 2009: 1-10 - [c8]Peter I. Frazier, Warren B. Powell, Hugo P. Simão:
Simulation Model Calibration with Correlated Knowledge-gradients. WSC 2009: 339-351 - [c7]Ilya O. Ryzhov, Warren B. Powell:
A Monte Carlo Knowledge Gradient Method for Learning Abatement Potential of Emissions Reduction Technologies. WSC 2009: 1492-1502 - [e1]Jürgen Branke, Barry L. Nelson, Warren Buckler Powell, Thomas J. Santner:
Sampling-based Optimization in the Presence of Uncertainty, 26.04. - 30.04.2009. Dagstuhl Seminar Proceedings 09181, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [i2]Jürgen Branke, Barry L. Nelson, Warren Buckler Powell, Thomas J. Santner:
09181 Abstracts Collection - Sampling-based Optimization in the Presence of Uncertainty. Sampling-based Optimization in the Presence of Uncertainty 2009 - [i1]Jürgen Branke, Barry L. Nelson, Warren Buckler Powell, Thomas J. Santner:
09181 Executive Summary - Sampling-based Optimization in the Presence of Uncertainty. Sampling-based Optimization in the Presence of Uncertainty 2009 - 2008
- [j59]Peter I. Frazier, Warren B. Powell, Savas Dayanik:
A Knowledge-Gradient Policy for Sequential Information Collection. SIAM J. Control. Optim. 47(5): 2410-2439 (2008) - [c6]Warren B. Powell:
Approximate dynamic programming: Lessons from the field. WSC 2008: 205-214 - [c5]Peter I. Frazier, Warren B. Powell:
The knowledge-gradient stopping rule for ranking and selection. WSC 2008: 305-312 - 2007
- [b1]Warren Buckler Powell:
Approximate Dynamic Programming - Solving the Curses of Dimensionality. Wiley 2007, ISBN 978-0-470-17155-4, pp. I-XVI, 1-460 - [j58]Huseyin Topaloglu, Warren B. Powell:
Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming. Oper. Res. 55(2): 319-331 (2007) - [j57]Katerina P. Papadaki, Warren B. Powell:
Monotonicity in multidimensional Markov decision processes for the batch dispatch problem. Oper. Res. Lett. 35(2): 267-272 (2007) - [j56]Huseyin Topaloglu, Warren B. Powell:
Incorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem. Transp. Sci. 41(3): 281-301 (2007) - [c4]Warren B. Powell, Belgacem Bouzaïene-Ayari:
Approximate dynamic programming for rail operations. ATMOS 2007 - [c3]Warren B. Powell:
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming. WSC 2007: 43-53 - [p3]Warren B. Powell, Belgacem Bouzaïene-Ayari, Hugo P. Simão:
Chapter 5 Dynamic Models for Freight Transportation. Transportation 2007: 285-365 - 2006
- [j55]Leonardo Campo Dall'Orto, Teodor Gabriel Crainic, José Eugênio Leal, Warren B. Powell:
The single-node dynamic service scheduling and dispatching problem. Eur. J. Oper. Res. 170(1): 1-23 (2006) - [j54]Huseyin Topaloglu, Warren B. Powell:
Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems. INFORMS J. Comput. 18(1): 31-42 (2006) - [j53]Joel A. Shapiro, Warren B. Powell:
A Metastrategy for Large-Scale Resource Management Based on Informational Decomposition. INFORMS J. Comput. 18(1): 43-60 (2006) - [j52]Abraham P. George, Warren B. Powell:
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming. Mach. Learn. 65(1): 167-198 (2006) - 2005
- [j51]Huseyin Topaloglu, Warren B. Powell:
A Distributed Decision-Making Structure for Dynamic Resource Allocation Using Nonlinear Functional Approximations. Oper. Res. 53(2): 281-297 (2005) - [c2]Warren B. Powell:
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming. WSC 2005: 96-109 - [p2]Warren B. Powell, Huseyin Topaloglu:
12. Fleet Management. Applications of Stochastic Programming 2005: 185-215 - 2004
- [j50]Warren B. Powell, Andrzej Ruszczynski, Huseyin Topaloglu:
Learning Algorithms for Separable Approximations of Discrete Stochastic Optimization Problems. Math. Oper. Res. 29(4): 814-836 (2004) - [j49]Michael Z. Spivey, Warren B. Powell:
The Dynamic Assignment Problem. Transp. Sci. 38(4): 399-419 (2004) - 2003
- [j48]Michael Z. Spivey, Warren B. Powell:
Some Fixed-Point Results for the Dynamic Assignment Problem. Ann. Oper. Res. 124(1-4): 15-33 (2003) - [j47]Huseyin Topaloglu, Warren B. Powell:
An algorithm for approximating piecewise linear concave functions from sample gradients. Oper. Res. Lett. 31(1): 66-76 (2003) - [p1]Warren B. Powell:
Dynamic Models of Transportation Operations. Supply Chain Management 2003: 677-756 - 2002
- [j46]Katerina P. Papadaki, Warren B. Powell:
Exploiting structure in adaptive dynamic programming algorithms for a stochastic batch service problem. Eur. J. Oper. Res. 142(1): 108-127 (2002) - [j45]Warren B. Powell, Arun Marar, Jack Gelfand, Steve Bowers:
Implementing Real-Time Optimization Models: A Case Application From The Motor Carrier Industry. Oper. Res. 50(4): 571-581 (2002) - [j44]Gregory A. Godfrey, Warren B. Powell:
An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times. Transp. Sci. 36(1): 21-39 (2002) - [j43]Gregory A. Godfrey, Warren B. Powell:
An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, II: Multiperiod Travel Times. Transp. Sci. 36(1): 40-54 (2002) - [j42]Warren B. Powell, Joel A. Shapiro, Hugo P. Simão:
An Adaptive Dynamic Programming Algorithm for the Heterogeneous Resource Allocation Problem. Transp. Sci. 36(2): 231-249 (2002) - 2001
- [j41]Warren B. Powell, Joel A. Shapiro, Hugo P. Simão:
A Representational Paradigm for Dynamic Resource Transformation Problems. Ann. Oper. Res. 104(1-4): 231-279 (2001) - [j40]Joel A. Shapiro, Warren B. Powell, David Bernstein:
A Flexible Java Representation for Uncertainty in Online Operations-Research Models. INFORMS J. Comput. 13(1): 29-55 (2001) - 2000
- [j39]Raymond K.-M. Cheung, Warren B. Powell:
Shape - a Stochastic Hybrid Approximation Procedure for Two-Stage Stochastic Programs. Oper. Res. 48(1): 73-79 (2000) - [j38]Warren B. Powell, Wayne Snow, Raymond K.-M. Cheung:
Adaptive Labeling Algorithms for the Dynamic Assignment Problem. Transp. Sci. 34(1): 50-66 (2000) - [j37]Warren B. Powell, Michael T. Towns, Arun Marar:
On the Value of Optimal Myopic Solutions for Dynamic Routing and Scheduling Problems in the Presence of User Noncompliance. Transp. Sci. 34(1): 67-85 (2000) - [j36]Tassio A. Carvalho, Warren B. Powell:
A Multiplier Adjustment Method for Dynamic Resource Allocation Problems. Transp. Sci. 34(2): 150-164 (2000)
1990 – 1999
- 1999
- [j35]Zhi-Long Chen, Warren B. Powell:
A column generation based decomposition algorithm for a parallel machine just-in-time scheduling problem. Eur. J. Oper. Res. 116(1): 220-232 (1999) - [j34]Zhi-Long Chen, Warren B. Powell:
Solving Parallel Machine Scheduling Problems by Column Generation. INFORMS J. Comput. 11(1): 78-94 (1999) - 1998
- [j33]Warren B. Powell, Tassio A. Carvalho:
Dynamic Control of Logistics Queueing Networks for Large-Scale Fleet Management. Transp. Sci. 32(2): 90-109 (1998) - [j32]Warren B. Powell, Tassio A. Carvalho:
Real-Time Optimization of Containers and Flatcars for Intermodal Operations. Transp. Sci. 32(2): 110-126 (1998) - 1997
- [j31]Zhi-Long Chen, Warren B. Powell:
A note on Bertsekas' small-label-first strategy. Networks 29(2): 111-116 (1997) - [c1]Warren B. Powell, Zhi-Long Chen:
A generalized threshold algorithm for the shortest path problem with time windows. Network Design: Connectivity and Facilities Location 1997: 303-318 - 1996
- [j30]Linos F. Frantzeskakis, Warren B. Powell:
Restricted recourse strategies for bounding the expected network recourse function. Ann. Oper. Res. 64(1): 261-287 (1996) - [j29]Raymond K.-M. Cheung, Warren B. Powell:
An Algorithm for Multistage Dynamic Networks with Random Arc Capacities, with an Application to Dynamic Fleet Management. Oper. Res. 44(6): 951-963 (1996) - [j28]Raymond K.-M. Cheung, Warren B. Powell:
Models and Algorithms for Distribution Problems with Uncertain Demands. Transp. Sci. 30(1): 43-59 (1996) - [j27]Warren B. Powell:
A Stochastic Formulation of the Dynamic Assignment Problem, with an Application to Truckload Motor Carriers. Transp. Sci. 30(3): 195-219 (1996) - 1995
- [j26]Warren B. Powell, Tassio A. Carvalho, Gregory A. Godfrey, Hugo P. Simão:
Dynamic fleet management as a logistics queueing network. Ann. Oper. Res. 61(1): 165-188 (1995) - 1994
- [j25]Warren B. Powell, Raymond K.-M. Cheung:
Stochastic programs over trees with random arc capacities. Networks 24(3): 161-175 (1994) - [j24]Warren B. Powell, Raymond K.-M. Cheung:
A network recourse decomposition method for dynamic networks with random arc capacities. Networks 24(7): 369-384 (1994) - [j23]Warren B. Powell, Linos F. Frantzeskakis:
Restricted Recourse Strategies for Dynamic Networks with Random Arc Capacities. Transp. Sci. 28(1): 3-23 (1994) - [j22]Judith M. Farvolden, Warren B. Powell:
Subgradient Methods for the Service Network Design Problem. Transp. Sci. 28(3): 256-272 (1994) - 1993
- [j21]Moshe Dror, Warren B. Powell:
Stochastic and Dynamic Models in Transportation. Oper. Res. 41(1): 11-14 (1993) - [j20]Judith M. Farvolden, Warren B. Powell, Irvin J. Lustig:
A Primal Partitioning Solution for the Arc-Chain Formulation of a Multicommodity Network Flow Problem. Oper. Res. 41(4): 669-693 (1993) - [j19]Kim L. Jones, Irvin Lustig, Judith M. Farvolden, Warren B. Powell:
Multicommodity network flows: The impact of formulation on decomposition. Math. Program. 62: 95-117 (1993) - [j18]Linos F. Frantzeskakis, Warren B. Powell:
Bounding procedures for multistage stochastic dynamic networks. Networks 23(7): 575-595 (1993) - 1992
- [j17]Yiannis A. Koskosidis, Warren B. Powell, Marius M. Solomon:
An Optimization-Based Heuristic for Vehicle Routing and Scheduling with Soft Time Window Constraints. Transp. Sci. 26(2): 69-85 (1992) - [j16]Warren B. Powell, Ioannis A. Koskosidis:
Shipment Routing Algorithms with Tree Constraints. Transp. Sci. 26(3): 230-245 (1992) - [j15]Hugo P. Simão, Warren B. Powell:
Numerical Methods for Simulating Transient, Stochastic Queueing Networks - I: Methodology. Transp. Sci. 26(4): 296-311 (1992) - [j14]Hugo P. Simão, Warren B. Powell:
Numerical Methods for Simulating Transient, Stochastic Queueing Networks - II: Experimental Design. Transp. Sci. 26(4): 312-329 (1992) - 1991
- [j13]Warren B. Powell:
The 1990 Transportation Science Section Dissertation Prize Competition. Transp. Sci. 25(3): 245-255 (1991) - 1990
- [j12]Bruce W. Lamar, Yosef Sheffi, Warren B. Powell:
A Capacity Improvement Lower Bound for Fixed Charge Network Design Problems. Oper. Res. 38(4): 704-710 (1990) - [j11]Linos F. Frantzeskakis, Warren B. Powell:
A Successive Linear Approximation Procedure for Stochastic, Dynamic Vehicle Allocation Problems. Transp. Sci. 24(1): 40-57 (1990) - [j10]Warren B. Powell:
Selected Abstracts for the 1989 Transportation Science Section Dissertation Prize Competition. Transp. Sci. 24(4): 298-307 (1990)
1980 – 1989
- 1989
- [j9]Warren B. Powell, Yosef Sheffi:
OR Practice - Design and Implementation of an Interactive Optimization System for Network Design in the Motor Carrier Industry. Oper. Res. 37(1): 12-29 (1989) - [j8]Warren B. Powell:
A Review of Sensitivity Results for Linear Networks and a New Approximation to Reduce the Effects of Degeneracy. Transp. Sci. 23(4): 231-243 (1989) - 1986
- [j7]Warren B. Powell, Pierre A. Humblet:
The Bulk Service Queue with a General Control Strategy: Theoretical Analysis and a New Computational Procedure. Oper. Res. 34(2): 267-275 (1986) - [j6]Warren B. Powell:
Approximate, Closed Form Moment Formulas for Bulk Arrival, Bulk Service Queues. Transp. Sci. 20(1): 13-23 (1986) - [j5]Warren B. Powell:
Iterative Algorithms for Bulk Arrival, Bulk Service Queues with Poisson and Non-Poisson Arrivals. Transp. Sci. 20(2): 65-79 (1986) - [j4]Warren B. Powell:
A Stochastic Model of the Dynamic Vehicle Allocation Problem. Transp. Sci. 20(2): 117-129 (1986) - [j3]Warren B. Powell:
A Local Improvement Heuristic for the Design of Less-than-Truckload Motor Carrier Networks. Transp. Sci. 20(4): 246-257 (1986) - 1985
- [j2]Warren B. Powell:
Analysis of Vehicle Holding and Cancellation Strategies in Bulk Arrival, Bulk Service Queues. Transp. Sci. 19(4): 352-377 (1985) - 1982
- [j1]Yosef Sheffi, Warren B. Powell:
An algorithm for the equilibrium assignment problem with random link times. Networks 12(2): 191-207 (1982)
Coauthor Index
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