The evaluation solver uses fixed settings: λ = 0.01, diversity bonus = 0.0, temperature = 0.001. It executes more internal steps (starting at 8000, scaling with population size) and returns the final strategy instead of the average, providing a responsive, low-noise exploitability measure. This training/evaluation difference emerged from the search, not human input.
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30 марта 2026, 17:22Туризм
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Chapter 00 // INTRODUCTION, the Why? Where? How?