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Computer Science

D-Index
44
Citations
8992
World Ranking
7526
National Ranking
3272

Overview

Kagan Tumer is affiliated with Oregon State University in the United States. Their research primarily lies within the field of Computer Science, with a strong focus on Artificial Intelligence. Other subfields they have contributed to include Management Science and Operations Research, Computer Vision and Pattern Recognition, Economics and Econometrics, and Sociology and Political Science.

Tumer's work covers a range of main topics, most notably:

  • Reinforcement Learning in Robotics
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Artificial Intelligence in Games
  • Auction Theory and Applications
  • Multi-Agent Systems and Negotiation

Regarding publication venues, Tumer has frequently published in:

  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Autonomous Agents and Multi-Agent Systems
  • arXiv (Cornell University)
  • Neural Computing and Applications

Some of the recent papers authored or co-authored by Tumer include:

  • "MAEDyS", 2021, Proceedings of the Genetic and Evolutionary Computation Conference
  • "The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains", 2020, Autonomous Agents and Multi-Agent Systems
  • "Fitness shaping for multiple teams", 2022, Proceedings of the Genetic and Evolutionary Computation Conference
  • "Leveraging Fitness Critics To Learn Robust Teamwork", 2023, Proceedings of the Genetic and Evolutionary Computation Conference
  • "Diversifying behaviors for learning in asymmetric multiagent systems", 2022, Proceedings of the Genetic and Evolutionary Computation Conference

Tumer has collaborated frequently with several co-authors, including:

  • Gaurav Dixit
  • Joshua Cook
  • Ayhan Alp Aydeniz
  • Everardo Gonzalez

Best Publications

  • Error Correlation and Error Reduction in Ensemble Classifiers

    Kagan Tumer;Joydeep Ghosh

  • OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

    David H. Wolpert;Kagan Tumer

  • Analysis of decision boundaries in linearly combined neural classifiers

    Kagan Tumer;Joydeep Ghosh

  • Classifier ensembles: Select real-world applications

    Nikunj C. Oza;Kagan Tumer

  • Intelligent Engineering Systems Through Artificial Neural Networks

    Cihan H. Dagli;K. Mark Bryden;Steven M. Corns;Mitsuo Gen

  • AN INTRODUCTION TO COLLECTIVE INTELLIGENCE

    David H. Wolpert;Kagan Tumer

  • Distributed agent-based air traffic flow management

    Kagan Tumer;Adrian Agogino

  • Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems

    J. J. Chung;D. Miklic;L. Sabattini;K. Tumer

  • Linear and Order Statistics Combiners for Pattern Classification

    Kagan Tumer;Joydeep Ghosh;Sonie Lau

  • Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks

    Kagan Tumer;Nirmala Ramanujam;Rebecca R. Richards-Kortum;Joydeep Ghosh

  • Evolution-Guided Policy Gradient in Reinforcement Learning

    Shauharda Khadka;Kagan Tumer

  • Analyzing and visualizing multiagent rewards in dynamic and stochastic domains

    Adrian K. Agogino;Kagan Tumer

  • General principles of learning-based multi-agent systems

    David H. Wolpert;Kevin R. Wheeler;Kagan Tumer

  • Collective intelligence for control of distributed dynamical systems

    David H. Wolpert;Kevin R. Wheeler;Kagan Tumer

  • Input Decimation Ensembles: Decorrelation through Dimensionality Reduction

    Nikunj C. Oza;Kagan Tumer

  • Collective Intelligence and Braess' Paradox

    Kagan Tumer;David Wolpert

  • A multiagent approach to managing air traffic flow

    Adrian K. Agogino;Kagan Tumer

  • Collectives and the Design of Complex Systems

    Kagan Tumer;David H. Wolpert

  • Ensembles of radial basis function networks for spectroscopic detection of cervical precancer

    K. Tumer;N. Ramanujam;J. Ghosh;R. Richards-Kortum

  • Collective intelligence, data routing and braess' paradox

    David H. Wolpert;Kagan Tumer

  • Collectives and Design Complex Systems

    Kagan Tumer;David H. Wolpert;Kagan Turner

Frequent Co-Authors

David H. Wolpert
David H. Wolpert Santa Fe Institute
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
Peter Stone
Peter Stone The University of Texas at Austin
Bechir Hamdaoui
Bechir Hamdaoui Oregon State University
David C. Parkes
David C. Parkes Harvard University
Mitsuo Gen
Mitsuo Gen Tokyo University of Science
Sandip Sen
Sandip Sen University of Tulsa
Tucker Balch
Tucker Balch Emory University

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