Alexander von Rohr
Scholar

Alexander von Rohr

Google Scholar ID: hB2Q6DUAAAAJ
TU Munich
Bayesian OptimizationReinforcement LearningControl Theory
Citations & Impact
All-time
Citations
220
 
H-index
8
 
i10-index
8
 
Publications
18
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Involved in multiple research projects and has several publications, such as 'Local policy search with Bayesian optimization' (NeurIPS 2021); received Best Reviewer Award at AISTATS 2025; participated in the Dagstuhl Research Retreat on AI-powered Robust and Resilient Robots.
Research Experience
  • Worked as a PhD researcher at the Max Planck Institute for Intelligent Systems; currently a postdoctoral researcher at the Learning Systems and Robotics Lab, Technical University of Munich.
Education
  • PhD from Max Planck Institute for Intelligent Systems, supervised by Prof. Sebastian Trimpe; research at the Institute for Data Science in Mechanical Engineering at RWTH Aachen University; Bachelor's degree in Computer Science from the University of Lübeck; Bachelor's degree in Electrical Engineering from BHT Berlin.
Background
  • Research interests include embodied AI, specifically Bayesian optimization for robot learning, as well as risk-aware and robust reinforcement learning. Affiliated with the Learning Systems and Robotics Lab at Technical University of Munich.
Miscellany
  • Worked as a full-time Software Engineer; personal interests not detailed.