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Distributed stochastic optimization under data-driven setting



Ashish Kumar Cherukuri

There are number of open research problems in this area. The project description is going to be uploaded soon. If you are interested in data-driven optimization and control then contact me over an email.

Largely, the project explores topics related to these two recent papers: [1], [2]

Weitere Informationen

John Lygeros

Art der Arbeit: 80% Theoretical, 20% simulation
Voraussetzungen: Mathematical background on optimization, analysis, Multi-agent systems, and probability theory. Coding skills (e.g. MATLAB).
Anzahl StudentInnen:
Status: taken
Projektstart: February 2018
Semester: Spring 2018