Preprint
Aug 2026
Algorithmic Asymmetry in Zero-Sum Games: Unilateral Recovery of Fast Convergence Against a Slow Opponent
The results show that fast convergence need not require coordinated algorithm selection: one agent can compensate for a slower opponent and algorithmic asymmetry is highlighted as a useful lens for understanding cross-class interactions in multiagent optimization.
James P. Bailey, Soham Das
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