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Yang Sun

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Preprint Aug 2026

How Much, Then Where: Credit-Conserving Action-to-Token Allocation for Multi-Turn Agent Reinforcement Learning

FACTOR is introduced, which uses checkpoint-calibrated TD residuals to assign per-action credits that telescope to the trajectory advantage, and feedback-conditioned teacher-student likelihood gaps to allocate each credit across the realized action tokens.

Li-Chao Ma, Yang Sun, Shuai Zhao et al. · 3 citations
#machine learning Preprint Aug 2026

Learning Human Health and Diseases from 24-hour Wrist Movement

These findings establish 24-hour wrist movement as a rich and scalable source of health information, with the potential to support passive health monitoring and disease prediction at population scale, and establish Sensori, a self-supervised foundation model that learns general-purpose health representations directly f...

Yong Wang, D. McGagh, K. Broomberg et al. · 0 citations
Preprint Aug 2026

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation

REOPD combines a token-level compatibility weight with a batch-level adaptive budget, yielding a token-wise coefficient $\lambda_{b,t}=1+\gamma_b q_t$ that preserves teacher alignment while selectively extrapolating along reliable teacher-reference directions, demonstrating effective fine-grained reliability adaptation...

Yang Sun, Li-Chao Ma, Houyuan Qin et al. · 3 citations

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