Let the Batch Decide, On- or Off-Policy: Effective Sample Size for RL Post-Training.

arXiv:2605.12380v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) is structurally harder than supervised learning because the policy changes the data distribution it learns from. The resulting fragility is especially visible in large-model