Mini-Workshop: Analysis of Data-driven Optimal Control

  • Lars Grüne

    Universität Bayreuth, Germany
  • Kirsten Anna Morris

    University of Waterloo, Canada

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.

Cite this article

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

DOI 10.4171/OWR/2021/23