Author

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. · 1 citation · ⚡1

#machine learning Preprint Sep 2026

LastOPD: Taming Collapse in Latent On-Policy Distillation

LastOPD is proposed, which applies the latent signal only at the last-layer state, the common interface both LM heads read, and only during a 10-step crossfade into token-level OPD, which keeps the useful part of the latent signal and hands the student to token-level supervision before the collapse sets in.

Jie Yang, Zheng-Yu Fang, Ze-Lin Xu et al. · 2 citations · ⚡1

#artificial intelligence Preprint Sep 2026

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

TimeEvo is proposed, which clusters an agent's diagnosed failures into capability gaps, plans a measurement for each, synthesizes evidence-only tools that fill them, and admits the candidate library only through a paired admission gate.

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