I am currently building up my research group on Autonomous Learning. For that, I am looking for motivated PhD students and Postdocs. Details can be found on my website.
I am interested in autonomous learning, that is how an embodied agent can determine what to learn, how to learn, and how to judge the learning success. I am using information theory and dynamical systems theory to formulate generic intrinsic motivations that lead to coherent behavior exploration – much like playful behavior. Furthermore, I develop methods to quantify autonomous behavior in robots and animals using information theory and manifold learning. Recently, I am also working on machine learning methods particularly suitable for internal models and learning from sequences.
Before joining the MPI in Tübingen, I was postdoc fellow at the IST Austria in the groups of Christoph Lampert and Gašper Tkačik after being a postdoc at the Max Planck Institute for Mathematics in the Sciences in Leipzig.
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