Unverified50% confidenceFactExact time
In offline reinforcement learning, unmeasured confounding makes the behavior policy correlated with outcomes, so directly using logged data for policy evaluation or optimization produces bias, requiring auxiliary structures such as instrumental variables, negative controls or proxy variables to achieve causal identification.
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10/30/2026
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