| Title | Type | Semester | Place | 
|---|---|---|---|
| Machine Learning for Autonomous Agents and Decision Making | Praktikum (P) | WS 25/26 | |
| Reinforcement Learning | Lecture / Practice (VÜ) | WS 25/26 | |
| Deep Learning for Robotics | Praktikum (P) | WS 25/26 | |
| Deep Learning for Robotics | Seminar (S) | WS 25/26 | 
| Title | Type | Lecturer | SWS | ECTS | Lv-No. | 
|---|---|---|---|---|---|
| Introduction to Artificial Intelligence | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann TT-Prof. Dr. Benjamin Schäfer TT-Prof. Dr. Pascal Friederich | 3 | 5 | 2400158 | 
| Reinforcement Learning | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann TT-Prof. Dr. Rudolf Lioutikov Mevlüt Onur Celik Niklas Freymuth Hongyi Zhou | 4 | 6 | 2400163 | 
| Machine Learning for Autonomous Agents and Decision Making | Praktikum (P) | Prof. Dr. Gerhard Neumann | 4 | 2400240 | |
| Deep Learning for Robotics | Seminar (S) | Prof. Dr. Gerhard Neumann | 2 | 3 | 2400099 | 
| Deep Learning for Robotics | Praktikum (P) | Prof. Dr. Gerhard Neumann | 4 | 6 | 2400091 | 
| Title | Type | Lecturer | SWS | Lv-No. | 
|---|---|---|---|---|
| Machine Learning - Foundations and Algorithms | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann | 4 | 2400018 | 
| Research Laboratory Autonomous Learning Robots | Praktikum (P) | Prof. Dr. Gerhard Neumann Niklas Freymuth Tai Hoang Xiaogang Jia | 4 | 2400112 | 
| Title | Type | Lecturer | SWS | Lv-No. | 
|---|---|---|---|---|
| Introduction to Artificial Intelligence | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann TT-Prof. Dr. Pascal Friederich | 3 | 2400158 | 
| Reinforcement Learning | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann TT-Prof. Dr. Rudolf Lioutikov Mevlüt Onur Celik | SWS: 4 / ECTS: 6 | 2400163 | 
| Deep Learning for Robotics | Seminar (S) | Prof. Dr. Gerhard Neumann | 2 | 2400099 | 
| Deep Learning for Robotics | Praktikum (P) | Prof. Dr. Gerhard Neumann TT-Prof. Dr. Rudolf Lioutikov | 4 | 2400091 | 
| Title | Type | Lecturer | SWS | Lv-No. | 
|---|---|---|---|---|
| Seminar: Robot Reinforcement Learning | Seminar (S) | Prof. Dr. Gerhard Neumann | 2 | 2400084 | 
| Research Laboratory Autonomous Learning Robots | Praktikum (P) | Prof. Dr. Gerhard Neumann | 4 | 2400112 | 
| Machine Learning - Foundations and Algorithms | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann | 3 | 2400018 | 
| Title | Type | Lecturer | Semester | 
|---|---|---|---|
| Reinforcement Learning | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann | WS 22/23 | 
| Introduction to Artificial Intelligence | Lecture / Practice (VÜ) | Prof. Dr. Gerhard Neumann TT-Prof. Dr. Pascal Friederich | WS 22/23 | 
| Deep Learning for Robotics | Praktikum (P) | Prof. Dr. Gerhard Neumann | WS 22/23 | 
| Deep Learning for Robotics | Seminar (S) | Prof. Dr. Gerhard Neumann | WS 22/23 | 
| Title | Type | Lecturer | Semester | 
|---|---|---|---|
| Kognitive Systeme | Lecture / Practice (VÜ) | Prof. Dr. Alexander Waibel Prof. Dr. Gerhard Neumann | SS 2022 | 
| Research Laboratory Autonomous Learning Robots | Praktikum (P) | Prof. Dr. Gerhard Neumann | SS 2022 | 
| Seminar: Robot Reinforcement Learning | Seminar (S) | Prof. Dr. Gerhard Neumann | SS 2022 | 
| Can Statistics Prove Cause and Effect? | Seminar (S) | Dr. Dominik Janzing | SS 2022 | 
| Titel | Typ | Dozent | Semester | 
|---|---|---|---|
| Maschinelles Lernen - Grundlagen und Algorithmen | Vorlesung / Übung (VÜ) | Prof. Dr. Gerhard Neumann | WS 21/22 | 
| Reinforcement Learning | Block (B) | Prof. Dr. Gerhard Neumann | WS 21/22 | 
| Deep Learning in der Robotik | Seminar (S) | Prof. Dr. Gerhard Neumann | WS 21/22 | 
| Deep Learning for Robotics | Praktikum (P) | Prof. Dr. Gerhard Neumann | WS 21/22 | 
| Titel | Typ | Dozent | Semester | 
|---|---|---|---|
| Kognitive Systeme | Vorlesung / Übung (VÜ) | Prof. Dr. Gerhard Neumann Prof. Dr. Alexander Waibel Dr. Sebastian Stüker | SS 2021 | 
| Forschungspraktikum Autonome Lernende Roboter | Praktikum (P) | Prof. Dr. Gerhard Neumann | SS 2021 | 
| Seminar: Robot Reinforcement Learning | Seminar (S) | Prof. Dr. Gerhard Neumann | SS 2021 | 
| Kann Statistik Ursachen beweisen? | Seminar (S) | Dr. Dominik Janzing | SS 2021 | 
| Titel | Typ | Dozent | Semester | 
|---|---|---|---|
| Maschinelles Lernen - Grundverfahren | Vorlesung + Übung | Mevlüt Onur Celik Prof. Dr. Gerhard Neumann Philipp Becker | WS 20/21 | 
| Deep Learning for Robotics | Praktikum (P) | Prof. Dr. Gerhard Neumann | WS 20/21 | 
| Few Shot Learning in Robotics | Seminar (S) | Prof. Dr. Gerhard Neumann | WS 20/21 | 
| Titel | Typ | Dozent | Semester | 
|---|---|---|---|
| Kognitive Systeme | lecture | Prof. Dr. Alexander Waibel Dr.-Ing. Pascal Meißner Prof. Dr. Gerhard Neumann Dr. Sebastian Stüker | SS 2020 | 
| Forschungspraktikum Autonome Lernende Roboter | Praktikum (P) | Prof. Dr. Gerhard Neumann | SS 2020 | 
| Seminar: Robot Reinforcement Learning | Seminar (S) | Prof. Dr. Gerhard Neumann | SS 2020 | 
