2119a

Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting)

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DOI
10.14760/OWR-2021-23
Publisher's DOI
10.4171/OWR/2021/23
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Workshop
2119a
Period
09 May - 15 May 2021
Abstract
This hybrid mini-workshop discussed recent mathematical methods for analyzing the opportunities and limitations of data-driven and machine-learning approaches to optimal feedback control. The analysis concerned all aspects of such approaches, ranging from approximation theory particularly for high-dimensional problems via complexity analysis of algorithms to robustness issues.
Mathematics Subject Classification (MSC)
47 • 49 • 93
Report
Workshop Report 2021,23
Organizers
Lars Grüne, Bayreuth; Kirsten Morris, Waterloo
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