Qing-Chao Tao

Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling

This work formalizes failure modes, derives lagged-risk decompositions that expose the resulting temporal bias, and recasts risk prediction as an in-context sequence modeling problem, and yields more reliable difficulty estimates and consistent performance gains across robust Meta-RL, DR, and prompt curriculum RL post-...