Robert Axtell
Scholar

Robert Axtell

Google Scholar ID: K822uYQAAAAJ
Economics, Computation, and Data Sciences, George Mason University and Santa Fe Institute
agent-based computational economicscomplexity economicsapplied microeconomicsfirm dynamics
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Citations & Impact
All-time
Citations
5,392
 
H-index
28
 
i10-index
50
 
Publications
20
 
Co-authors
55
list available
Publications
2 items
Detecting and Explaining Unlawful Insider Trading: A Shapley Value and Causal Forest Approach to Identifying Key Drivers and Causal Relationships
2026
Cited
0
The Formation of Production Networks: How Supply Chains Arise from Simple Learning with Minimal Information
2025
Cited
0
Resume
Academic Achievements
  • - "Advanced Techniques in ML", Journal of AI, 2020
  • - "Robotic Navigation Using RL", IEEE Transactions on Robotics, 2019
Research Experience
  • - Postdoc, Harvard University, 2020-2022, Project: Autonomous Systems
  • - Research Assistant, Stanford AI Lab, 2017-2020, Focus: Reinforcement Learning
Education
  • - Ph.D., Computer Science, Stanford University, 2015-2020, Advisor: Prof. John Doe
  • - Bachelor's, Computer Engineering, MIT, 2011-2015
Background
  • Research Interests: Machine Learning, Robotics.
Miscellany
  • Hobbies: Traveling, Reading, Hiking
Co-authors
6 total
Omar A. Guerrero
Omar A. Guerrero
The Alan Turing Institute
Ernesto Carrella
Ernesto Carrella
Data Scientist, Tesco
Eduardo López
Eduardo López
George Mason University
Matthew G. Burgess
Matthew G. Burgess
Assistant Professor, University of Wyoming
Marco Janssen
Marco Janssen
Professor, Arizona State University
Daniel G. Brown
Daniel G. Brown
University of Washington, School of Environmental and Forest Sciences