I am a Ph.D. student at the Robot Learning Lab. In the long term, I would like to contribute to enabling efficient, robust and autonomous learning of complex and dynamic robotic tasks by combining sample-efficient reinforcement learning algorithms with muscle-based robots. In particular, I am interested in model-based and hierarchical reinforcement learning.
Before joining the Empirical Inference department I obtained bachelor’s degrees in physics and mathematics and a master’s degree in physics at Heidelberg University.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems