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Michael Bowling

Michael Bowling

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
15663
World Ranking
3218
National Ranking
125

Michael Bowling publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Bowling sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Bowling D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Bowling sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2021 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to game-playing theory and practice and to machine learning

Overview

Michael Bowling is affiliated with the University of Alberta in Canada, specializing in the field of computer science with a strong focus on artificial intelligence. Their body of work includes numerous publications, particularly in artificial intelligence and its applications in game theory, robotics, and machine learning.

The primary fields of their research encompass:

  • Computer Science

Within this broad field, their subfields of focus include:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Economics and Econometrics
  • Safety Research
  • Computational Theory and Mathematics

Michael Bowling's main research topics include:

  • Reinforcement Learning in Robotics
  • Artificial Intelligence in Games
  • Game Theory and Applications
  • Adversarial Robustness in Machine Learning
  • Advanced Bandit Algorithms Research
  • Sports Analytics and Performance
  • Explainable Artificial Intelligence (XAI)

Their frequent coauthors are:

  • Marc Lanctot
  • Neil Burch
  • Finbarr Timbers
  • Dustin Morrill
  • Ryan D'Orazio

Michael Bowling has contributed extensively to several publication venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Journal of Artificial Intelligence Research
  • Nature Communications

Recent papers authored or coauthored by Michael Bowling cover a range of topics in AI and game theory. These include:

  • "Investigating Contingency Awareness Using Atari 2600 Games," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Finding Optimal Abstract Strategies in Extensive-Form Games," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "TacticAI: an AI assistant for football tactics," 2024, published in Nature Communications
  • "Rethinking formal models of partially observable multiagent decision making," 2021, published in Artificial Intelligence
  • "Count-Based Exploration with the Successor Representation," 2020, published in Proceedings of the AAAI Conference on Artificial Intelligence

Michael Bowling was awarded the title of Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2021. The award citation noted their contributions to game-playing theory and practice as well as to machine learning.

Best Publications

  • The arcade learning environment: an evaluation platform for general agents

    Marc G. Bellemare;Yavar Naddaf;Joel Veness;Michael Bowling

  • Multiagent Learning Using a Variable Learning Rate

    Michael H. Bowling;Manuela M. Veloso

  • DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

    Matej Moravčík;Matej Moravčík;Martin Schmid;Martin Schmid;Neil Burch;Viliam Lisý;Viliam Lisý

  • Regret Minimization in Games with Incomplete Information

    Martin Zinkevich;Michael Johanson;Michael Bowling;Carmelo Piccione

  • Heads-up limit hold'em poker is solved

    Michael Bowling;Neil Burch;Michael Johanson;Oskari Tammelin

  • Rational and convergent learning in stochastic games

    Michael Bowling;Manuela Veloso

  • Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

    Marlos C. Machado;Marc G. Bellemare;Erik Talvitie;Joel Veness

  • Automatic gait optimization with Gaussian process regression

    Daniel Lizotte;Tao Wang;Michael Bowling;Dale Schuurmans

  • Convergence and No-Regret in Multiagent Learning

    Michael Bowling

  • DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

    Matej Moravcík;Martin Schmid;Neil Burch;Viliam Lisý

  • Monte Carlo Sampling for Regret Minimization in Extensive Games

    Marc Lanctot;Kevin Waugh;Martin Zinkevich;Michael Bowling

  • Apprenticeship learning using linear programming

    Umar Syed;Michael Bowling;Robert E. Schapire

  • The Hanabi Challenge: A New Frontier for AI Research

    Nolan Bard;Jakob N. Foerster;Sarath Chandar;Neil Burch

  • STP: Skills, tactics, and plays for multi-robot control in adversarial environments:

    B Browning;J Bruce;M Bowling;M Veloso

  • Bayes' bluff: opponent modelling in poker

    Finnegan Southey;Michael Bowling;Bryce Larson;Carmelo Piccione

  • An Analysis of Stochastic Game Theory for Multiagent Reinforcement Learning

    Michael Bowling;Manuela Veloso

  • A Laplacian Framework for option discovery in reinforcement learning

    Marlos C. Machado;Marc G. Bellemare;Michael Bowling

  • Dyna-style planning with linear function approximation and prioritized sweeping

    Richard S. Sutton;Csaba Szepesvári;Alborz Geramifard;Michael Bowling

  • Bayesian sparse sampling for on-line reward optimization

    Tao Wang;Daniel Lizotte;Michael Bowling;Dale Schuurmans

  • Solving heads-up limit Texas Hold'em

    Oskari Tammelin;Neil Burch;Michael Johanson;Michael Bowling

  • Generalization and Regularization in DQN

    Jesse Farebrother;Marlos C. Machado;Michael Bowling

Frequent Co-Authors

Manuela Veloso
Manuela Veloso Carnegie Mellon University
Neil Burch
Neil Burch University of Alberta
Marc Lanctot
Marc Lanctot DeepMind (United Kingdom)
Marc G. Bellemare
Marc G. Bellemare Google (United States)
Dale Schuurmans
Dale Schuurmans University of Alberta
Duane Szafron
Duane Szafron University of Alberta
Csaba Szepesvári
Csaba Szepesvári University of Alberta
Peter Stone
Peter Stone The University of Texas at Austin
Robert C. Holte
Robert C. Holte University of Alberta
Ali Ghodsi
Ali Ghodsi University of Waterloo

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