arXiv cs.LG
· Papers
Target-Aligned Fusion for Decision-Sequence Learning under Dynamics Shift
arXiv:2511.09173v3 Announce Type: replace Abstract: External trajectories can improve offline decision-sequence learning, but dynamics shift may make some source subsequences inconsistent with the target environment. We study how to fuse such trajectories with limited target data for Decision Transformer learning under