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Computer Science

D-Index
78
Citations
25552
World Ranking
1204
National Ranking
639

Overview

Warren B. Powell is affiliated with Princeton University in the United States. Their research spans several fields including decision sciences, computer science, and engineering, with a focus on subfields such as management science and operations research, artificial intelligence, electrical and electronic engineering, computational theory and mathematics, and automotive engineering.

The scientist's work is published frequently in notable venues, with substantial contributions in journals and conferences such as arXiv (Cornell University), European Journal of Operational Research, Operations Research, Foundations and Trends® in Technology Information and Operations Management, and the International Journal of Energy Research.

Warren B. Powell's recent papers include:

  • Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles, 2020, European Journal of Operational Research
  • An Intelligent Battery Controller Using Bias-Corrected Q-learning, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Reinforcement learning for electricity dispatch in grids with high intermittent generation and energy storage systems: A case study for the Brazilian grid, 2020, International Journal of Energy Research
  • Adaptive Learning of Drug Quality and Optimization of Patient Recruitment for Clinical Trials with Dropouts, 2021, Manufacturing & Service Operations Management
  • Zeroth-Order Stochastic Compositional Algorithms for Risk-Aware Learning, 2022, SIAM Journal on Optimization

The scientist often collaborates with several frequent co-authors, including Saeed Ghadimi, Lina Al-Kanj, Lawrence Thul, Weidong Han, and Donghun Lee.

The main research topics in Warren B. Powell's work include:

  • Advanced Bandit Algorithms Research
  • Risk and Portfolio Optimization
  • Reinforcement Learning in Robotics
  • Supply Chain and Inventory Management
  • Machine Learning and Algorithms
  • Advanced Multi-Objective Optimization Algorithms
  • Smart Grid Energy Management

Best Publications

  • Approximate dynamic programming : solving the curses of dimensionality

    Warren Buckler Powell

  • Handbook of Learning and Approximate Dynamic Programming

    Jennie Si;Andrew G. Barto;Warren Buckler Powell;Donald C. Wunsch

  • A Knowledge-Gradient Policy for Sequential Information Collection

    Peter I. Frazier;Warren B. Powell;Savas Dayanik

  • The Knowledge-Gradient Policy for Correlated Normal Beliefs

    Peter Frazier;Warren Buckler Powell;Savas Dayanik

  • Stochastic and dynamic networks and routing

    Warren Buckler Powell;Patrick Jaillet;Amedeo Odoni

  • An algorithm for the equilibrium assignment problem with random link times

    Yosef Sheffi;Warren B. Powell

  • The Convergence of Equilibrium Algorithms with Predetermined Step Sizes

    Warren B. Powell;Yosef Sheffi

  • A transportation network evacuation model

    Yosef Sheffi;Hani Mahmassani;Warren Buckler Powell

  • AN OPTIMIZATION-BASED HEURISTIC FOR VEHICLE ROUTING AND SCHEDULING WITH SOFT TIME WINDOW CONSTRAINTS

    Yiannis A. Koskosidis;Warren B. Powell;Marius M. Solomon

  • A unified framework for stochastic optimization

    Warren B. Powell

  • An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times

    Gregory A. Godfrey;Warren B. Powell

  • Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems

    Huseyin Topaloglu;Warren B. Powell

  • Solving Parallel Machine Scheduling Problems by Column Generation

    Zhi-Long Chen;Warren B. Powell

  • An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution

    Gregory A. Godfrey;Warren B. Powell

  • A Stochastic Formulation of the Dynamic Assignment Problem, with an Application to Truckload Motor Carriers

    Warren B. Powell

  • The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression

    Warren Scott;Peter Frazier;Warren Buckler Powell

  • Optimal Energy Commitments with Storage and Intermittent Supply

    Jae Ho Kim;Warren B. Powell

  • Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming

    Abraham P. George;Warren B. Powell

  • A SUCCESSIVE LINEAR APPROXIMATION PROCEDURE FOR STOCHASTIC, DYNAMIC VEHICLE ALLOCATION PROBLEMS

    Linos F. Frantzeskakis;Warren B. Powell

  • An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application

    Hugo P. Simão;Jeff Day;Abraham P. George;Ted Gifford

Frequent Co-Authors

Peter I. Frazier
Peter I. Frazier Cornell University
Huseyin Topaloglu
Huseyin Topaloglu Cornell University
Andrew G. Barto
Andrew G. Barto University of Massachusetts Amherst
David M. Blei
David M. Blei Columbia University
Zhi-Long Chen
Zhi-Long Chen University of Maryland, College Park
Hani S. Mahmassani
Hani S. Mahmassani Northwestern University
Barry L. Nelson
Barry L. Nelson Northwestern University
Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
Roger N. Anderson
Roger N. Anderson Columbia University
Jürgen Branke
Jürgen Branke University of Warwick

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