AI RESEARCH
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
arXiv CS.LG
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ArXi:2605.13401v1 Announce Type: new We propose a data augmentation method for offline reinforcement learning, motivated by active positioning problems. Particularly, our approach enables the