Joschka Boedecker

Professor Joschka Boedecker serves as a faculty member at the Department of Computer Science, University of Freiburg, Germany. His academic profile centers on cutting-edge machine learning research with strong emphasis on practical applications across multiple domains.

His primary research interests span:

• Reinforcement Learning (core focus with multi-semester course offerings)
• Probabilistic Graphical Models and causal inference
• Health informatics applications of machine learning
• World models and hierarchical decision systems

Professor Boedecker maintains an active teaching schedule with recurring courses including Reinforcement Learning (taught continuously since WS2018/19 through SS2025), Probabilistic Graphical Models, and specialized seminars on Machine Learning in Health. His course portfolio demonstrates sustained expertise in sequential decision-making systems and modern extensions of Q-learning and policy gradient methods.

He leads a research group comprising postdoctoral researchers (including Dr. Maria Kalweit and Dr. Gabriel Kalweit) and numerous graduate students, as evidenced by the extensive team listing on his institutional page. The group's structure indicates active supervision of Master's and PhD candidates in reinforcement learning and related AI subfields.