Robert Deibel (2023-2024): 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.
Masters Students
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.
Bachelors Students
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.
Working Students
Maximilian H. Develop derivative-free optimization techniques
