Author

Zhuoer Wang

TAMU, Microsoft, Amazon

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Preprint Aug 2026

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning

Recoverability-Aware Intervention Learning (RAIL), a training-time framework that learns how to generate rollouts based on the improvement produced by each intervention, consistently improves performance under limited rollout budgets.

Zheyuan Zhang, Man-Qing Mao, Hong Wang et al. · 0 citations