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Zheng-Yu Fang

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#machine learning Preprint Sep 2026

PR-OPD: Privileged Representation On-policy Self-Distillation for Agentic Reinforcement Learning

Language-model agents are usually trained by reinforcement learning from one reward per episode, and privileged self-distillation enriches it by letting the same policy, given a skill, teach its skill-free self through token probabilities. However, we identify two phenomena that question this channel. Invisible Advanta...

Mu-Yang Li, Jie Yang, Zheng-Yu Fang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent

Time series agents answer analytical questions by calling external tools, and which tools they carry is decided by people before the agent runs. However, we identify two failures in this setup. Human-Agent Tool Misalignment: a library of 21 expert-curated tools helps on some tasks and hurts on others, dropping anomaly...

Jie Yang, Yan Zheng, Jia-Rui Sun et al. · 0 citations

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