The study applies Bayesian uncertainty propagation to agentic RAG pipelines on StrategyQA and HotpotQA, reporting better discrimination on HotpotQA than on StrategyQA using standard calibration and selective-prediction metrics.
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A tutorial framing deep learning as a complement to optimization for sequential decision-making under uncertainty, with applications in supply chains, healthcare, and energy.
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