Offline RL method handles domain shift and unmeasured confounding
CAT-CCB and CAT-CMDP use causal transportability and pessimistic optimization, with finite-sample suboptimality bounds.
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Relatedcausal-inference1domain-shift1fmri1graph-representations1offline-reinforcement-learning1policy-optimization1post-hoc-correction1transformers1
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Stories tagged #confounding
Pairwise graph gains track length and local signs, not topology
After controlling for sequence length, the reported edge over model confidence disappears; topology shifts ROC-AUC by at most 0.004.