Beyond equilibrium: A dynamical systems approach to learning in games

Related lectures (31)

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Covers potential games, best response dynamics, and the convergence to Nash equilibria.

Provides guidance on project proposals in game theory, showcasing past examples and emphasizing problem formulation and mathematical modeling.

Covers dynamic games, focusing on their structure, applications, and the transition from tree to loop models.

Covers dynamic games, focusing on backward induction and finding Nash equilibria in two-player scenarios.

Covers convex games, their equilibria, and applications in various fields such as traffic and electricity markets.

Delves into homoclinic orbits, bifurcations, and limit cycles in nonlinear dynamics.

Delves into chaos and sensitivity in the double pendulum system, exploring unpredictability and exponential divergence of trajectories.

Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.

Explores LP duality in zero-sum games from an economics perspective, emphasizing optimal strategies and decision-making.

Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.