03-IMVP-MLAR (03-ME-712.07) Lernverfahren für autonome Roboter (Machine Learning for Autonomous Robots): WiSe 2025/26 (tutorials), WiSe 2024/25 (tutorials), WiSe 2023/24 (tutorials), WiSe 2022/23 (exercises), WiSe 2021/22 (exercises), WiSe 2020/21 (lectures), WiSe 2019/20 (lectures), WiSe 2018/19 (lectures), WiSe 2017/18 (lectures), WiSe 2016/17 (tutorials), WiSe 2015/16 (tutorials), WiSe 2014/15 (tutorials and lectures), WiSe 2013/14 (tutorials); teaching materials; topics: Python introduction, data preprocessing and cleaning, regression, clustering, meta-learning, neural networks, deep learning, manifold learning
03-IMAP-RL (03-ME-712.03) Reinforcement Lernen (Reinforcement Learning): SoSe 2026 (tutorials), SoSe 2025 (tutorials), SoSe 2023 (lectures), SoSe 2022 (exercises), SoSe 2021 (exercises), SoSe 2019 (lectures), SoSe 2018 (lectures), SoSe 2017 (tutorials and lectures), SoSe 2016 (tutorials and lectures); topics: model-free RL, eligibility traces, model-based RL, RL with function approximators, policy gradients, direct policy search, policy representation, deep RL
03-BA-700.02 Praktische Informatik 2 - Algorithmen und Datenstrukturen (Algorithms and Data Structures): SoSe 2013 (tutorials)
03-IBPJ-GRIPS4ST Project GRIPS4Students (computer science, bachelor) (WiSe 24/25 - SoSe 2025) ➤ Project description (German)
Project GRIPS4Students (computer science, master) (WiSe 25/26 - SoSe 2026) ➤ Project description (German)