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Learning in Large Populations With Anticipatory Payoffs: Bregman Meets Willems and Lyapunov
We study evolutionary Nash equilibrium learning in large populations whose payoffs are generated by dynamic mechanisms. Counterclockwise dissipativity (CCW) provides a passivity-like framework for establishing learning/convergence under a broad convex cone of so-called well-behaved learning rules sa
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