Stale rollouts introduce O(S * eta) surrogate-gradient bias in async GRPO, yielding stability condition eta << min{R_batch / (S * G_upd), R_crit / (T * G_upd)} under smoothness assumptions.
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Staleness-Learning Rate Scaling Laws for Asynchronous RLHF
Stale rollouts introduce O(S * eta) surrogate-gradient bias in async GRPO, yielding stability condition eta << min{R_batch / (S * G_upd), R_crit / (T * G_upd)} under smoothness assumptions.