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Joschka Boedecker
Dr. Maria Kalweit (Hügle)
Dr. Gabriel Kalweit
Branka Mirchevska
Michael Keser
Baohe Zhang
Jasper Hoffmann
Lu Schultheiss
Yuan Zhang
Moritz Schneider
Farhad Safaei
Umashankar Deekshith
Yannick Vogt
Jan Ole von Hartz
Mehdi Naouar
Lisa Graf
Seyed Mahdi Basiri Azad (Erfan)
Julien Brosseit
Hanne Raum
Hao Zhu
Aron Distelzweig
Raghu Rajan
Anna Rothenhäusler
Daniel Jost
Ann-Kathrin Kiessner
Shengchao Yan
Research
Publications
Teaching
WS2025/26
Reinforcement Learning
RoboCup Small Size League Lab
Reinforcement Learning Lab
Causal World Models
Introduction to AI Safety, Ethics, and Society
SS2025
World Models (Seminar)
Probabilistic Graphical Models
WS2024/25
Seminar on Machine Learning in Health
Reinforcement Learning
Reinforcement Learning Lab
Databases and Information Systems
SS2024
Probabilistic Graphical Models
Causality and Reinforcement Learning
WS2023/24
Reinforcement Learning
Seminar on Machine Learning in Health
Reinforcement Learning Lab
SS2023
Policy Gradient Methods: Basics and Modern Extensions (Proseminar)
Seminar on Current Works in Deep Reinforcement Learning
WS2022/23
Reinforcement Learning
SS2022
Q-Learning: Basics and Modern Extensions (Proseminar)
WS2021/22
Reinforcement Learning
SS2021
WS2020/21
Reinforcement Learning
WS2019/20
Reinforcement Learning
SS2019
WS2018/19
Reinforcement Learning
SS2018
Hierarchical Reinforcement Learning
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