Using both action-selection and reward-observation propensities gives an unbiased off-policy value estimator under position-based missingness and the no-direct-effect assumption.
Off-Policy Eval- uation for Large Action Spaces via Embeddings
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Off-Policy Evaluation for Recommendations with Missing-Not-At-Random Rewards
Using both action-selection and reward-observation propensities gives an unbiased off-policy value estimator under position-based missingness and the no-direct-effect assumption.