03-IMVP-MLAR (03-ME-712.07) Lernverfahren für autonome Roboter (Machine Learning for Autonomous Robots): 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, regression, meta-learning, neural networks, deep learning
03-IMAP-RL (03-ME-712.03) Reinforcement Lernen (Reinforcement Learning): 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, RL with function approximators, 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)