A Discovered Plan and Its Improvement Probability
Abstract
Partition search can favor a plan before its numerical improvement event is independently checked. The improvement probability depends on the planning objective and uncertainty model. Evaluation should reserve terminal calculation resources and state the comparison baseline. A search-favored estimate is evidence to investigate, while clinical consequence remains outside a numerical planning-only assessment. This focused synthesis develops an empirical comparison that preserves the terminal action, observation process, and total verification cost. Its proposed tests are prospective; no new simulation run, model-training result, or intervention effect is reported.
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