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Before the Next Rollout: Diagnosing Skill Utility Shifts from Policy Updates

arXiv cs.AI · arxiv.org Publicado:

arXiv:2610.39358v1 Announce Type: new Abstract: Skill-evolution methods typically analyze execution trajectories to guide agent skill refinement. However, policy updates can change the behavioral effects and marginal utility of an unchanged skill. Attribution based on earlier trajectories may therefore no longer reflect the skill's contribution under the updated policy. Moreover, trajectory failures can arise from multiple factors, making individual skill contributions difficult to isolate. We…

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