Onno is a PhD student at the Max Planck Institute for Intelligent Systems and the University of Tübingen, advised by Claire Vernade and Michael Muehlebach. His research focuses on the theory of reinforcement learning, with a particular interest in partial observability and function approximation, as well as connections to dynamical systems, physics, and theoretical computer science. Previously, he interned at Google Research in Paris. He holds a master's degrees in Machine Learning from the University of Tübingen and a bachelor's degree in Electrical Engineering from the University of Duisburg-Essen.

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