2 papers
cs.LG2026
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
Tobias Schmähling, Matthias Burkhardt, Tobias Windisch
We propose a data augmentation method for offline reinforcement learning, motivated by active positioning problems. Particularly, our approach enables the training of off-policy mo…
cs.RO2025
Active Alignments of Lens Systems with Reinforcement Learning
Matthias Burkhardt, Tobias Schmähling, Pascal Stegmann +2
Aligning a lens system relative to an imager is a critical challenge in camera manufacturing. While optimal alignment can be mathematically computed under ideal conditions, real-wo…