Erfaun Noorani

My research focuses on developing robust-resilient-adaptive reinforcement learning systems that are generic, provide performance guarantees, and can generalize-reason-improve in complex and unknown task environments. I apply tools from optimization theory, control theory, reinforcement learning, game theory, and graph theory, aiming to provide a comprehensive foundational theory, algorithms, and implementations, to design such systems with some degree of assurance of meeting specifications.

Brief Bio: I am a Technical Staff with the Control & Autonomous Systems Engineering Group at MIT Lincoln Laboratory. Before joining the Laboratory, I was a Postdoctoral Associate within the Institute for Systems Research (ISR) at the University of Maryland, College Park. I received my Ph.D. as a Clark Doctoral Fellow with the Department of Electrical and Computer Engineering at the University of Maryland, College Park. My doctoral work, under the supervision of John S. Baras, focused on robust and risk-sensitive reinforcement learning. I obtained an M.Sc. degree from the University of Maryland, College Park, in Electrical Engineering and a B.Sc. degree in Electrical Engineering (with a minor in Computer Science) from Drexel University, Philadelphia, Pennsylvania.