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First-order policy gradient methods can achieve minimax-optimal sample complexity for general parametric policies without restrictive assumptions or second-order operations.
The clinical usability study showed that lung expert and nonexpert physicians improved their prediction with the explainable AI (XAI) ML CB-only based tool, and Although multimodal integration with MLEF (CB+CT+DP) was associated with higher performance, its incremental benefit remains uncertain, not translated in TEST and EXVAL.