We teach machine learning and reinforcement learning with a focus on autonomous, data-efficient and curiosity-driven agents. Our courses are tightly connected to our research on model-based and model-free RL, object-centric representations, intrinsic motivation, ML for science, haptics and combinatorial optimisation.

Reinforcement Learning – WS 2025/26
Master-level course on decision making, MDPs, deep RL and selected research topics from our group.
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Grundlagen des Maschinellen Lernens – SoSe 2025
Bachelor course on core ML methods, evaluation and applications. Entry point to later work with our group.
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Student Research & Theses
No static list. Topics are defined on demand from ongoing research in the group.
How to apply