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Convergence rate of generalized nash equilibrium learning in strongly monotone games with linear constraints

——, “Convergence rate of generalized nash equilibrium learning in strongly monotone games with linear constraints,”arXiv preprint arXiv:2507 · 2025 · arXiv 2507.12112

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Last-Iterate Guarantees for Learning in Co-coercive Games

cs.GT · 2026-04-21 · unverdicted · novelty 7.0

Vanilla SGD achieves O(log(t)/t^{1/3}) last-iterate convergence to Nash equilibria in co-coercive games under affine noise scaling, plus almost-sure and time-average convergence.

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  • Last-Iterate Guarantees for Learning in Co-coercive Games cs.GT · 2026-04-21 · unverdicted · none · ref 16

    Vanilla SGD achieves O(log(t)/t^{1/3}) last-iterate convergence to Nash equilibria in co-coercive games under affine noise scaling, plus almost-sure and time-average convergence.