SERA: Scale-Equalized Rollout Allocation for Maximum Likelihood Reinforcement Learning
SERA (Scale-Equalized Rollout Allocation), which redistributes a fixed rollout budget to approximately equalize these finite-rollout scaling factors and introduces a multiplicity correction to remove the additional prompt weighting induced by heterogeneous rollout counts.
Zi-Hao Chen, Fan-Xiang Xiong, Hong-Ran Ren et al.
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