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"Control and learning – is there really a divide?" Panel Discussion at IFAC 2020
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Panel Discussion: "Control and learning – is there really a divide?" at IFAC 2020 Monday, July 13, 14.20-15.00 Abstract: In this panel discussion, we will shed light on different questions, developments, and perspectives related to the interface of Machine Learning and control theory. Among the questions that will be addressed are: Will learning-based methods replace established control theory in industrial applications? What is missing for learning-based methods to be applicable in safety-critical applications? How can we use control theory to improve and robustify machine learning algorithms? Panelists: Carsten Scherer (University of Stuttgart, Germany) Thomas Schön (Uppsala University, Sweden) Mario Sznaier (Northeastern University, Boston, USA) Melanie Zeilinger (ETH Zurich, Switzerland) The panel discussion is moderated by Frank Allgöwer (University of Stuttgart, Germany).
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