World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Computer Science

D-Index
102
Citations
132521
World Ranking
325
National Ranking
178

Mathematics

D-Index
100
Citations
108240
World Ranking
46
National Ranking
33

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2018 - INFORMS John von Neumann Theory Prize
  • 2015 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)
  • 2014 - Khachiyan Prize of the INFORMS Optimization Society
  • 2014 - Richard E. Bellman Control Heritage Award
  • 2001 - Member of the National Academy of Engineering For pioneering contributions to fundamental research, practice, and education of optimization/control theory, and especially its application to data communication networks.

Overview

Dimitri P. Bertsekas is affiliated with Arizona State University in the United States. Their research primarily focuses on areas within Computer Science, with significant contributions in Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Control and Systems Engineering, and Economics and Econometrics.

The scientist's research topics cover a broad range of subjects including:

  • Reinforcement Learning in Robotics
  • Optimization and Search Problems
  • Auction Theory and Applications
  • Advanced Control Systems Optimization
  • Adaptive Dynamic Programming Control
  • Advanced Bandit Algorithms Research
  • Economic theories and models

Dimitri P. Bertsekas has published extensively in various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Results in Control and Optimization
  • IEEE/CAA Journal of Automatica Sinica
  • IFAC-PapersOnLine
  • IEEE Transactions on Robotics

Recent published papers demonstrate an emphasis on reinforcement learning, control, and optimization techniques:

  • "Multiagent Reinforcement Learning: Rollout and Policy Iteration" (2021) in IEEE/CAA Journal of Automatica Sinica
  • "Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control" (2021) in arXiv (Cornell University)
  • "Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming" (2024) in IFAC-PapersOnLine
  • "Multiagent Reinforcement Learning: Rollout and Policy Iteration for POMDP With Application to Multirobot Problems" (2023) in IEEE Transactions on Robotics
  • "Newton's method for reinforcement learning and model predictive control" (2022) in Results in Control and Optimization

The scientist often collaborates with co-authors who include:

  • Sushmita Bhattacharya
  • Sahil Badyal
  • Stephanie Gil
  • Siva Kailas

Dimitri P. Bertsekas has been recognized with several awards over the course of their career. These include:

  • INFORMS John von Neumann Theory Prize in 2018
  • Dantzig Prize, awarded by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS) in 2015
  • Richard E. Bellman Control Heritage Award in 2014
  • Khachiyan Prize of the INFORMS Optimization Society in 2014
  • Member of the National Academy of Engineering, elected in 2001 for contributions to optimization and control theory including applications in data communication networks

Best Publications

  • Nonlinear Programming

    Dimitri Bertsekas

  • Dynamic Programming and Optimal Control

    Dimitri P. Bertsekas

  • Data networks

    Dimitri Bertsekas;Robert Gallager

  • Parallel and Distributed Computation: Numerical Methods

    Dimitri P. Bertsekas;John N. Tsitsiklis

  • Parallel and distributed computation

    Dimitri P. Bertsekas;John N. Tsitsiklis;Alexander N. Sennikov

  • Neuro-dynamic programming

    Dimitri P. Bertsekas;John N. Tsitsiklis

  • Constrained Optimization and Lagrange Multiplier Methods

    Dimitri P. Bertsekas

  • Neuro-dynamic programming: an overview

    D.P. Bertsekas;J.N. Tsitsiklis

  • Dynamic Programming and Stochastic Control

    D. P. Bertsekas;Chelsea C. White

  • On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

    Jonathan Eckstein;Dimitri P. Bertsekas

  • Convex Analysis and Optimization

    Dimitri P. Bertsekas;Angelia Nedić;Asuman E. Ozdaglar

  • Stochastic optimal control : the discrete time case

    Dimitri P. Bertsekas;Steven E. Shreve

  • Distributed asynchronous deterministic and stochastic gradient optimization algorithms

    J. Tsitsiklis;D. Bertsekas;M. Athans

  • Dynamic Programming: Deterministic and Stochastic Models

    Dimitri P. Bertsekas

  • Data networks (2nd ed.)

    Dimitri Bertsekas;Robert Gallager

  • Network Optimization: Continuous and Discrete Models

    Dimitri P. Bertsekas

  • Convex Optimization Theory

    Dimitri P. Bertsekas

  • Recursive state estimation for a set-membership description of uncertainty

    D. Bertsekas;I. Rhodes

  • Projected Newton Methods for Optimization Problems with Simple Constraints

    Dimitri P. Bertsekas

  • Approximate dynamic programming

    Dimitri P. Bertsekas

  • Dynamic Programming and Optimal Control, Two Volume Set

    Dimitri P. Bertsekas

  • Neuro-Dynamic Programming.

    Dimitri P. Bertsekas

Frequent Co-Authors

David A. Castanon
David A. Castanon Boston University
Paul Tseng
Paul Tseng University of Washington
Eli Gafni
Eli Gafni University of California, Los Angeles
Emmanouel Varvarigos
Emmanouel Varvarigos National Technical University of Athens
Steven E. Shreve
Steven E. Shreve Carnegie Mellon University
Jonathan Eckstein
Jonathan Eckstein Rutgers, The State University of New Jersey
Angelia Nedic
Angelia Nedic Arizona State University
Michael Athans
Michael Athans Instituto Superior Técnico
Vivek S. Borkar
Vivek S. Borkar Indian Institute of Technology Bombay

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