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Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation

Xiang, Biao et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningoptimization-and-control
Off-policy evaluation (OPE) estimates the value of a target policy from logged data, but limited behavior-policy coverage can force high-variance reweighting or reward-model extrapolation. Counterfactual annotations can add evidence about unobserved actions, yet practical sources, including domain e
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