A Fast Robust Value with a Spatial Representation to Check
Abstract
Robust Bellman efficiency does not verify the perceptual relations defining a state. Spatial-reasoning analysis makes that representation an independent evidence object. Evaluation should preserve ambiguity assumptions and directly check relevant image relations before judging the resulting action. Solver speed and verbal accuracy are separate measurements rather than interchangeable proof of reliability. 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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Published
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