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…