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Zhe-Yu Zhang

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#artificial intelligence Preprint Oct 2026

Correcting or Continuing? What On-Policy Distillation Learns from Student Errors

On-policy distillation (OPD) trains a student on its own rollouts under a frozen teacher, mitigating the distribution mismatch of off-policy supervision. While prior work has primarily trained on problems a student can largely solve, we ask whether OPD can improve a student when training is restricted to problems it cu...

Shuo Yang, Zhe-Yu Zhang, Mahito Sugiyama et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Relational Learning as World Modeling

Relational learning typically predicts from a database state, but decision making asks a different question: how will that state change under an action? In operational systems, the answer depends on system-specific dynamics that may not be visible in the database itself. We view each such system as a relational"world"a...

Zhe-Yu Zhang, Gjergji Kasneci · 0 citations

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