teaching

Master Thesis Supervision

1. Variational Learning of Dynamics Models with Spatial Latent Variables (2021)

    Andreas Boltres

2. Meta-Learning Time Series Classification With Application To Video Games (2021)

    Martin Herault

3. Hybrid Inverse Dynamics Models for Robot Impedance Control (2021)

    Moritz Benno Reuss

Cosupervisor(s): Philipp Becker, Niels van Duijkeren, Robert Krug

4. Development of a Hydraulic Excavator Arm Control Using Reinforcement Learning (2022)

    Markus Baumann

Cosupervisor(s): Demir Ozan, Luiz Douat

5. Reinforcement Learning based Robot Waypoints Tracking Error Optimization (2022)

    Yinglin Yuan

Cosupervisor(s): Chenwei Sun, Moritz Reuss

6. Model-Based Deep Reinforcement Learning Under Life-Long Non-Stationarity (2022)

    Stefan Geyer

7. Model-based Deep RL for Non-Stationary Environments (2023)

    Emiliyan Gospodinov

8. Model-Based Episodic Reinforcement Learning with Transformer World Models (2023)

    Ruben Jacob

Cosupervisor(s): Philipp Becker

9. Role of Hierarchy in Learning World Models (2024)

    Shuheng Zhang

Bachelor Thesis Supervision

10. Benchmarking Transformer Models for Time Series Forecasting (2023)

    Nicolas Braun

Cosupervisor(s): Saleh Zadeh

11. Multi Scale Architectures for Time Series Forecasting Tasks (2023)

    Severin Mahler

Cosupervisor(s): Saleh Zadeh

12. Benchmarking Transformer World Models (2023)

    Thorben Colmes

Cosupervisor(s): Saleh Zadeh

13. World Modelling with Structured State Space Models (2023)

    Jannic Bach

Cosupervisor(s): Saleh Zadeh