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Qi-Tai Tan

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#machine learning Preprint Sep 2026

Beyond Average Error through Oracle-Informed Stress Tests for Time-Series Forecasting

Paired, mechanism-controlled stress tests that decompose changes in expected squared error at each lead time into environmental risk and forecast-oracle distance are introduced, using an origin-conditioned predictive oracle unavailable to the evaluated models.

Xu Lin, Run-Heng Zuo, Sheng-Xuan Xu et al. · 0 citations
Jul 2026

PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning

This work proposes a policy-centric training paradigm that reframes skills as a dynamic training scaffold and converts rollout groups from the latest policy into evidence cards and uses task-specific evaluation to adjust the context used in subsequent rollouts.

Yipeng Shi, Zhi-Peng Ma, Yue Wang et al. · 0 citations

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