#machine learning
Jul 2026
DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation
DASH-OPD (Discrepancy-Aware Switching with Hysteresis for OPD) is proposed, the first agentic OPD method to perform adaptive, bidirectional executor switching and introduces hysteresis that prevents rapid switching triggered by transient discrepancy fluctuations.
Yuchen Xia, Qianguo Sun, Chao Song et al.
· arXiv.org · 2 citations