The overlooked async RL curation pitfall: task runtime differences skew sampling
auto_grad_ · x · 2026-09-29
A lesser-known detail in data curation for async RL: prompt sampling must account for each task's time to complete. If prompts are distributed without weighting, faster-executing tasks contribute policy updates more often within the same scheduling window, drowning out slower tasks and creating sampling bias from async scheduling itself. Prompt distribution should be balanced against environment execution time to keep updates unbiased.
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