Alexander von Rohr
Learning Systems and Robotics Lab, TU Munich.
![me1_square.jpg](/assets/img/me1_square.jpg)
Building: N4, Room: A 2.11
TheresienstraĂźe 90
80333 Munich, Germany
I am a postdoctoral researcher at the Technical University of Munich affiliated with the Learning Systems and Robotics Lab. My research focuses on Bayesian optimization for robot learning, as well as risk-aware and robust reinforcement learning.
During the first part of my PhD, I conducted research at the Max Planck Institute for Intelligent Systems as a member of the Intelligent Control Systems Group, led by Prof. Sebastian Trimpe. Later, I relocated with my research group to RWTH Aachen University, where we established the new Institute for Data Science in Mechanical Engineering. Throughout this period, I was associated with the International Max Planck Research School for Intelligent Systems (IMPRS-IS), and my PhD was supported by IAV.
Before joining the Max Planck Institute for my master’s thesis and later pursuing my PhD in 2018, I studied Computer Science at the University of Lübeck. I earned my Bachelor’s degree in Electrical Engineering from BHT Berlin in 2013. Between these degrees, I worked as a full-time Software Engineer in Hamburg.
news
Apr 8, 2024 | Our new paper on Local Bayesian Optimization for Controller Tuning with Crash Constraints has been published in the journal at - Automatisierungstechnik. |
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Apr 1, 2024 | I started a new position with the Learning Systems and Robotics Lab at the Technical University of Munich. |
Mar 6, 2024 | Our new paper on Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization has been published at the Transactions on Machine Learning Research. |
Jul 18, 2023 | Today we present our work on Experience Transfer for Robust Direct Data-Driven Control at the poster session of the RWTH Aachen AI Colloquium. |
Jun 29, 2023 | Have you ever wondered how to make your data-driven controllers more robust to variations? We just published a preprint on this topic Experience Transfer for Robust Direct Data-Driven Control. |