跨领域离线强化学习新方法，用对齐贝尔曼备份解决域间转移难题。
arXiv:2605.22376v1 Announce Type: new Abstract: Cross-domain offline reinforcement learning (CDRL) aims to improve policy learning in a target domain …
一篇证明域迁移通过单一对齐可变得可识别的理论论文，解决内容混淆难题
arXiv:2605.17918v1 Announce Type: new Abstract: Domain transfer (DT) maps source to target distributions and supports tasks such as unsupervised image…
机器学习新工具：无监督检测域迁移，还能定位异常特征子空间，实现可解释归因。
arXiv:2605.15920v1 Announce Type: cross Abstract: We developed a tool for detecting domain shifts, namely subtle differences in the probability distri…