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Stability Beyond Minty: Numerical Lyapunov Certification for Equilibrium Learning in Bayesian Bertrand Competition
Computing Bayesian Nash equilibria with continuous types and actions requires solving for strategy functions. Learning methods provide a flexible approach, but standard variational conditions often fail to explain their convergence. We study symmetric Bayesian Bertrand competition with private margi
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