World's Best Scientists 2026 revealed!

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Computer Science

D-Index
31
Citations
6349
World Ranking
13417
National Ranking
5369

Overview

Jason R. Marden is affiliated with the University of California, Santa Barbara in the United States. Their research spans various disciplines primarily within decision sciences, computer science, and economics, econometrics, and finance.

Their main fields of study include:

  • Decision Sciences
  • Computer Science
  • Economics, Econometrics and Finance

Within these broader fields, specific subfields of study addressed are:

  • Management Science and Operations Research
  • Economics and Econometrics
  • Computer Networks and Communications
  • Safety Research
  • Civil and Structural Engineering

The research topics of focus include:

  • Game Theory and Applications
  • Auction Theory and Applications
  • Game Theory and Voting Systems
  • Experimental Behavioral Economics Studies
  • Infrastructure Resilience and Vulnerability Analysis
  • Optimization and Search Problems
  • Economic theories and models

Recent papers authored or coauthored by Jason R. Marden cover diverse aspects of multi-agent systems, learning dynamics in electric power grids, greedy algorithms, reinforcement learning, and Bayesian congestion games. Notable recent publications include:

  • Utility and mechanism design in multi-agent systems: An overview, 2022, Annual Reviews in Control
  • Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook, 2022, IEEE Systems Journal
  • Execution Order Matters in Greedy Algorithms with Limited Information, 2022, 2022 American Control Conference (ACC)
  • Policy Evaluation and Seeking for Multiagent Reinforcement Learning via Best Response, 2021, IEEE Transactions on Automatic Control
  • Avoiding Unintended Consequences: How Incentives Aid Information Provisioning in Bayesian Congestion Games, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC)

Jason R. Marden frequently publishes in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control of Network Systems
  • IEEE Control Systems Letters
  • 2022 American Control Conference (ACC)

The scientist has collaborated regularly with a core group of coauthors, including:

  • Rahul Chandan
  • Keith Paarporn
  • Bryce L. Ferguson
  • Mahnoosh Alizadeh
  • David Grimsman

Best Publications

  • Cooperative Control and Potential Games

    J.R. Marden;G. Arslan;J.S. Shamma

  • Autonomous Vehicle-Target Assignment: A Game-Theoretical Formulation

    Gürdal Arslan;Jason R. Marden;Jeff S. Shamma

  • Designing Games for Distributed Optimization

    Na Li;Jason R. Marden

  • Revisiting log-linear learning: Asynchrony, completeness and payoff-based implementation

    Jason R. Marden;Jeff S. Shamma

  • A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods

    J. R. Marden;S. D. Ruben;L. Y. Pao

  • Joint Strategy Fictitious Play With Inertia for Potential Games

    J.R. Marden;G. Arslan;J.S. Shamma

  • Payoff-Based Dynamics for Multiplayer Weakly Acyclic Games

    Jason R. Marden;H. Peyton Young;Gürdal Arslan;Jeff S. Shamma

  • Distributed Welfare Games

    Jason R. Marden;Adam Wierman

  • Game Theory and Distributed Control

    Jason R. Marden;Jeff S. Shamma

  • State based potential games

    Jason R. Marden

  • Achieving Pareto Optimality Through Distributed Learning

    Jason R. Marden;H. Peyton Young;Lucy Y. Pao

  • An architectural view of game theoretic control

    Ragavendran Gopalakrishnan;Jason R. Marden;Adam Wierman

  • A data-driven model for wind plant power optimization by yaw control

    P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;P. A. Fleming

  • Game Theory and Control

    Jason R. Marden;Jeff S. Shamma

  • Potential Games Are Necessary to Ensure Pure Nash Equilibria in Cost Sharing Games

    Ragavendran Gopalakrishnan;Jason R. Marden;Adam Wierman

  • Regret based dynamics: convergence in weakly acyclic games

    Jason R. Marden;Gürdal Arslan;Jeff S. Shamma

  • The Price of Selfishness in Network Coding

    J. R. Marden;M. Effros

  • Payoff based dynamics for multi-player weakly acyclic games

    J.R. Marden;H.P. Young;G. Arslan;J.S. Shamma

  • Decoupling Coupled Constraints Through Utility Design

    Na Li;Jason R. Marden

  • Generalized efficiency bounds in distributed resource allocation

    Jason R. Marden;Tim Roughgarden

  • Connections between cooperative control and potential games illustrated on the consensus problem

    Jason R. Marden;Gurdal Arslan;Jeff S. Shamma

  • Autonomous Vehicle-Target Assignment: A Game-Theoretical

    Gürdal Arslan;Jason R. Marden;Jeff S. Shamma

Frequent Co-Authors

Jeff S. Shamma
Jeff S. Shamma University of Illinois at Urbana-Champaign
Adam Wierman
Adam Wierman California Institute of Technology
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara
Lucy Y. Pao
Lucy Y. Pao University of Colorado Boulder
Na Li
Na Li Harvard University
Michelle Effros
Michelle Effros California Institute of Technology
Paul Fleming
Paul Fleming National Renewable Energy Laboratory
Yisheng Zhong
Yisheng Zhong Tsinghua University
Francesco Bullo
Francesco Bullo University of California, Santa Barbara
M Maarten Steinbuch
M Maarten Steinbuch Eindhoven University of Technology

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