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

In three linesAn arXiv study shows that a threshold in decision capacity determines collapse in self-play reinforcement learning. Eliminating all positive-reach contingent decisions causes rapid convergence to a deterministic exploitation attractor. Preserving even a single contingent decision point prevents collapse, confirming the mechanism is co-adaptation under constraint.

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