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Policy evaluation and learning with partially identified utility under truncation by death
Policy evaluation and learning aim to assess and optimize treatment assignment rules based on individual characteristics. A fundamental challenge arises when outcomes are truncated by death, rendering conventional policy utilities undefined. To address this challenge, we study policy evaluation and
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