Trajectory-Level Data Augmentation for Offline Reinforcement Learning
arXiv:2605.13401v1 Announce Type: cross
Abstract: We propose a data augmentation method for offline reinforcement learning, motivated by active positioning problems. Particularly, our approach enables the training of off-policy models from a limited n…