Author

Zeyu Bian

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Jul 2026

Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions

This work leverages the next-state variable as a natural proxy for the unobserved action and proposes an influence-function-based estimator called LURE (Learning from the Unseen: Robust Estimator), which is multiply robust, remaining consistent under several combinations of correctly specified nuisance components, and...

Zeyu Bian, Ying Zhou, Yifan Cui · arXiv.org · 0 citations