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A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning

arXiv cs.LG · 2026-05-19 Cached

This paper identifies a threshold in decision capacity that determines whether self-play reinforcement learning agents collapse under asymmetric rule perturbations, showing that eliminating all positive-reach contingent decisions leads to rapid convergence to a deterministic exploitation attractor.

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