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Eric V. Mazumdar · SciRah

Researcher profile · Semantic Scholar

Eric V. Mazumdar

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Eric V. Mazumdar — researcher profile on SciRah

h-index: 13
Works: 34
Citations: 782

Most-cited papers

On Gradient-Based Learning in Continuous Games
Eric V. Mazumdar, L. Ratliff, S. Sastry
2018SIAM Journal on Mathematics of Data Science173 citations Open access
Semantic Scholar
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar, Michael I. Jordan, S. Sastry
2019118 citations
Semantic Scholar
Who Leads and Who Follows in Strategic Classification?
Tijana Zrnic, Eric V. Mazumdar, S. Sastry, Michael I. Jordan
2021Neural Information Processing Systems76 citations
Semantic Scholar
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games
Eric V. Mazumdar, L. Ratliff, Michael I. Jordan, S. Sastry
2019Adaptive Agents and Multi-Agent Systems51 citations Open access
Semantic Scholar
Feedback Linearization for Uncertain Systems via Reinforcement Learning
T. Westenbroek, David Fridovich-Keil, Eric V. Mazumdar, Shreyas Arora +3 more
2020IEEE International Conference on Robotics and Automation33 citations
Semantic Scholar
Inverse Risk-Sensitive Reinforcement Learning
L. Ratliff, Eric V. Mazumdar
2017IEEE Transactions on Automatic Control33 citations Open access
Semantic Scholar
Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization
Chinmay Maheshwari, Chih-Yuan Chiu, Eric V. Mazumdar, S. Sastry +1 more
2021International Conference on Artificial Intelligence and Statistics32 citations
Semantic Scholar
Convergence Analysis of Gradient-Based Learning in Continuous Games
Benjamin J. Chasnov, L. Ratliff, Eric V. Mazumdar, Samuel A. Burden
2019Conference on Uncertainty in Artificial Intelligence30 citations
Semantic Scholar
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
Tanner Fiez, L. Ratliff, Eric V. Mazumdar, Evan Faulkner +1 more
2021Neural Information Processing Systems29 citations
Semantic Scholar
Feedback Linearization for Unknown Systems via Reinforcement Learning
T. Westenbroek, David Fridovich-Keil, Eric V. Mazumdar, Shreyas Arora +3 more
2019arXiv.org28 citations
Semantic Scholar
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
Chinmay Maheshwari, Eric V. Mazumdar, S. Sastry
2022Neural Information Processing Systems22 citations Open access
Semantic Scholar
To observe or not to observe: Queuing game framework for urban parking
L. Ratliff, Chase P. Dowling, Eric V. Mazumdar, Bao-Sen Zhang
2016IEEE Conference on Decision and Control16 citations Open access
Semantic Scholar
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar, Michael I. Jordan, S. Sastry
2019arXiv.org14 citations
Semantic Scholar
Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings
Eric V. Mazumdar, L. Ratliff, Michael I. Jordan, S. Sastry
2019arXiv.org13 citations
Semantic Scholar
Gradient-based inverse risk-sensitive reinforcement learning
Eric V. Mazumdar, L. Ratliff, Tanner Fiez, S. Sastry
2017IEEE Conference on Decision and Control13 citations
Semantic Scholar
On the Convergence of Competitive, Multi-Agent Gradient-Based Learning
Eric V. Mazumdar, L. Ratliff
2018arXiv.org12 citations
Semantic Scholar
Understanding the impact of parking on urban mobility via routing games on queue-flow networks
Daniel J. Calderone, Eric V. Mazumdar, L. Ratliff, S. Sastry
2016IEEE Conference on Decision and Control12 citations
Semantic Scholar
On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems
Margaret P. Chapman, Eric V. Mazumdar, Ellen M. Langer, R. Sears +1 more
2018IEEE Conference on Decision and Control11 citations
Semantic Scholar
Local Nash Equilibria are Isolated, Strict Local Nash Equilibria in ‘Almost All’ Zero-Sum Continuous Games
Eric V. Mazumdar, L. Ratliff
2019IEEE Conference on Decision and Control10 citations Open access
Semantic Scholar
Follower Agnostic Learning in Stackelberg Games
Chinmay Maheshwari, James Cheng, S. Sastry, Lillian J. Ratliff +1 more
2023IEEE Conference on Decision and Control9 citations
Semantic Scholar
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings
Benjamin J. Chasnov, L. Ratliff, Eric V. Mazumdar, Samuel A. Burden
2019arXiv.org9 citations
Semantic Scholar
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes
Eric V. Mazumdar, Roy Dong, Vicenç Rúbies Royo, C. Tomlin +1 more
2017arXiv.org9 citations
Semantic Scholar
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
Zaiwei Chen, Eric V. Mazumdar
2024Neural Information Processing Systems8 citations
Semantic Scholar
Risk-Sensitive Inverse Reinforcement Learning via Gradient Methods
L. Ratliff, Eric V. Mazumdar
2017arXiv.org8 citations
Semantic Scholar
Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning
T. Westenbroek, Eric V. Mazumdar, David Fridovich-Keil, Valmik Prabhu +2 more
2020IEEE Conference on Decision and Control5 citations Open access
Semantic Scholar
Technichal Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning
T. Westenbroek, Eric V. Mazumdar, David Fridovich-Keil, Valmik Prabhu +2 more
20204 citations
Semantic Scholar
High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems
Eric V. Mazumdar, T. Westenbroek, Michael I. Jordan, S. Sastry
2020IEEE Conference on Decision and Control2 citations
Semantic Scholar
Overleaf Example
Chinmay Maheshwari, S. Sastry, Lillian J. Ratliff, Eric V. Mazumdar
20231 citations
Semantic Scholar
Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games
Chinmay Maheshwari, S. Sastry, Lillian J. Ratliff, Eric V. Mazumdar
2023arXiv.org1 citations Open access
Semantic Scholar
Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
Jake Gonzales, Maxim D. Horwitz, Eric V. Mazumdar, Lillian J. Ratliff
2026arXiv.org0 citations
Semantic Scholar
On Finding Local Nash Equilibria (and only Local Nash Equilibria) in Zero-Sum Games
Eric V. Mazumdar, S. Sastry, Michael I. Jordan
2025ACM / IMS Journal of Data Science0 citations Open access
Semantic Scholar
Expert Selection in High-Dimensional Markov Decision Processes
Vicenc Rubies-Royo, Eric V. Mazumdar, Roy Dong, C. Tomlin +1 more
2020IEEE Conference on Decision and Control0 citations Open access
Semantic Scholar
Finite-Time Convergence of Gradient-Based Learning in Continuous Games
Benjamin J. Chasnov, L. Ratliff, Daniel J. Calderone, Eric V. Mazumdar +1 more
20190 citations
Semantic Scholar
Optimal Causal Imputation for Control
Roy Dong, Eric V. Mazumdar, S. Sastry
2017arXiv.org0 citations
Semantic Scholar

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