13% Policy Drift Staleness Suggests RL Envs Needed No Curriculum, Tokenbender Argues

tokenbender · x · 2026-09-22

tokenbender reads a new RL report: large throughput, heterogeneous environments, and only 13% policy drift staleness suggest the chosen tasks were runnable or improvable directly on base weights, with no curriculum learning required.

The argument: tasks demanding skills learned across earlier RL updates would have suffered staleness penalties. The author poses an open question—how would results change with a harder task set?

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13% Policy Drift Staleness Suggests RL Envs Needed No Curriculum, Tokenbender Argues

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