Researcher Flags Risk That Pedagogical RL's Student-Likelihood Optimization Filters Rare Reasoning
novasarc01 · x · 2026-09-29
The author praises the pedagogical RL paper but worries that over-optimizing for student-likelihood could make models conservative and filter genuinely useful low-probability reasoning moves. He suggests combining both ideas: search for successful trajectories near the student's support, then gate which teacher/token updates are worth distilling.
Related event: Researchers Question Pedagogical RL's Student-Likelihood Proxy(2 posts)→
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