Alfredo Garcia
Chair, Department of Systems and Information Engineering
Professor, Systems and Information Engineering
About
Alfredo Garcia’s research focuses on decision-making, learning, and control in complex systems, with applications to AI, energy, and communication networks. His work combines reinforcement learning, game theory, optimization, and stochastic control to study intelligent decision-making in Human–AI systems, electricity markets, and telecommunications.
Education
Ph.D., Industrial & Operations Engineering, University of Michigan
D.E.A Diplome d'Etudes Approfondies, Automatique et Informatique Industrielle; Universite de Toulouse III, Toulouse, France
Selected Publications
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees (2024), Operations Research
S. Zeng, M. Hong and A. Garcia
DOI
Retraction-Free Decentralized Non-Convex Optimization With Orthogonal Constraints (2026), IEEE Transactions on Automatic Control
Y. Sun, S. Chen, A. Garcia and S. Shahrampour
DOI
Regularized Q-Learning with Linear Function Approximation (2025), IEEE Transactions on Automatic Control
J.Xi, A. Garcia and P. Momcilovic
DOI
Adaptive Rank Control for Robust Reinforcement Learning (2026), Transactions on Machine Learning Research
Ch. Li, J. Leng, J. Li, Y. Sun, S. Chen, S. Shahrampour, Alfredo Garcia
Open Review Link
Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization (2026) Third Conference on Language Modeling CoLM
Ch. Li, Elmahdy A., Boyd A., Wang Z. and Zeng S., Garcia A., Bhatia P., Kass-Hout T., and Cao, X and Hong M.
ArXiv Link
Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement (2026), Human Factors
Kashyap L., Wang Z., Chang Y., Zahabi M., Garcia A.
DOI
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Alfredo Garcia Appointed Chair of UVA’s Department of Systems and Information Engineering
Read NowUVA Engineering has appointed Alfredo Garcia as chair of the Department of Systems and Information Engineering, bringing AI and systems expertise to the University.