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Standard Soft Actor-Critic suffers from an irreducible policy tracking error under conventional Gibbs targets, but switching to a policy mirror descent formulation enables direct control of target drift to guarantee provable $\mathcal{O}(N^{-1/5})$ convergence.
Anomaly detection in EHR data can pinpoint potentially erroneous clinical decisions with surprisingly low false alarm rates, suggesting a practical pathway to improve patient safety.
