Alumni | Universität Tübingen

PhD Students

Robert Deibel (2023): Development of RL training pipeline, Research towards use of sequence modells in RL agents and utilization of first- and second-order metrics for debugging and interpretation of RL training.

Abay A. (2024) Neural image compression methods for training reinforcement learning agents.
Felix P. (2024) Investigating the integration of second-order optimiyation strategies in reinforcement learning.
Jasha p. (2023) Data augmentation for real world reinforcement learning robotic applications.
Virmarie M. (2023) Exploring the effects of scanpath feature engineering for supervised image classification models.
Michael H. (2022) Efficient Training of LSTMs for Supervised and Reinforcement Learning Tasks.
Shudao W. (2022) Practical Improvement in Robotic Reinforcement Learning.

Sebastian B. (2024) Analysing deep reinforcement learning training with first and second-order gradient statistics
Julia L. (2023) Mind wandering detection with eye tracking and machine learning.
Maximilian H. (2022) Creating and controlling a digital twin for a bioreactor.
Valentina D. (2021) Enhancing reproducibility of deep learning research using ML Ops tools.