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What Does a ProcGen Generalization Gap Measure? Action Rules, Convergence, and the Missing Random Floor
A generalization gap in reinforcement learning (return on training levels minus return on held-out levels) is usually reported without a reference point. We argue that the missing reference is a measured random floor: the return of a uniform-random policy on the same levels under the same harness. O
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