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This work outlines a pre-registered prospective test under a shared loss and logging standard, requiring clarified measurements and records, a defined process decision and relevant outputs, credible economic inputs, and validation at the intended scale.
The implementation of Coactive learning combines a cost-sensitive Bayesian hypothesis-discrimination policy motivated by EC2 with Gaussian-process Bayesian optimization to solve a sequential decision problem with a discrete pathway-identification stage and a continuous within-pathway optimization stage under heterogene...
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