Scholar
Eric Mazumdar
Google Scholar ID: FZOxxvcAAAAJ
Assistant Professor, California Institute of Technology
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Citations & Impact
All-time
Citations
1,185
H-index
17
i10-index
22
Publications
20
Co-authors
9
list available
Contact
Email
mazumdar@cms.caltech.edu
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Publications
8 items
Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
2026
Cited
0
Training Generalizable Collaborative Agents via Strategic Risk Aversion
2026
Cited
0
Provably Convergent Actor-Critic in Risk-averse MARL
2026
Cited
0
Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
2026
Cited
0
Convergent Q-Learning for Infinite-Horizon General-Sum Markov Games through Behavioral Economics
2025
Cited
0
Learning to Steer Learners in Games
2025
Cited
0
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
2025
Cited
0
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
2024
Cited
0
Resume (English only)
Background
Assistant Professor in Computing and Mathematical Sciences & Economics at Caltech
Research interests lie at the intersection of machine learning and economics
Focused on developing tools and theoretical understanding for confidently deploying ML algorithms in societal systems
Studies theoretical foundations of learning algorithms interacting with strategic agents in uncertain, dynamic environments
Practical applications include intelligent infrastructure, online markets, e-commerce, and healthcare delivery
Co-authors
9 total
Lillian J. Ratliff
Associate Professor, University of Washington
Shankar Sastry
University of California
Michael I. Jordan
Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley
Claire Tomlin
UC Berkeley
David Fridovich-Keil
Assistant Professor, The University of Texas at Austin
Tijana Zrnic
Stanford University
Yi-An Ma
UC San Diego
Aldo Pacchiano
Boston University and Broad Institute of MIT and Harvard
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