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Utkarsh Tyagi

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Preprint Aug 2026

Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL

This work proposes Rubric Dropout, a one-line fix borrowed from neuron dropout that randomly drops a subset of the rubric's criteria before computing the reward, so the policy never optimizes the same rubric twice.

Minglai Yang, Xinyu Guo, Utkarsh Tyagi et al. · 0 citations

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