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.
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Lars Grüne, Kirsten Anna Morris, Mini-Workshop: Analysis of Data-driven Optimal Control. Oberwolfach Rep. 18 (2021), no. 2, pp. 1209–1257DOI 10.4171/OWR/2021/23