Reinforcement Learning [ML4350] – WS 2025/26
Master-level course on sequential decision making, MDPs, value-based and policy-based RL, exploration, and deep RL. Includes selected current research topics from the Distributed Intelligence group (e.g. model-based RL, curiosity, object-centric control).
- Target group: ML Master, Informatik Master
- Format: Lecture + tutorials
- Materials: Slides & exercises on ILIAS; course webpage
- Prerequisites: Solid ML and linear algebra; Python
Grundlagen des Maschinellen Lernens [INF3151] – SoSe 2025
Bachelor course (in German) introducing supervised and unsupervised learning, evaluation, overfitting, regularisation, basic neural networks and modern applications.
- Target group: BSc Informatik and related programs
- Format: Lecture + multiple tutorials
- Materials: ILIAS; course webpage
- Why it matters: Recommended if you want to do a thesis or project with our group.