Xiao-Shen Han

Dissecting Advantage-Guided Post-Training for Vision-Language-Action Policies

Advantage-guided reinforcement learning provides a practical way to post-train vision-language-action (VLA) policies using limited robot data. However, its performance depends on several coupled choices, including how critic-derived advantages are constructed, calibrated, and used for policy training. Existing recipes...