Beyond equilibrium: A dynamical systems approach to learning in games

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Page 3 of 4

Covers special types of systems, focusing on gradient systems and limit cycles, discussing equilibrium points, stability, and chaotic behavior.

Explores robustness in GAN training, Gaussian algorithms, saddle points, and mixed Nash equilibrium.

Covers bidding strategies, Game Theory, Nash equilibrium, system security, ancillary services, and market power in power systems.

Delves into Chaos Theory, exploring chaotic systems, sensitivity to initial conditions, and the dynamics of the double pendulum.

Covers chaotic behavior in complex systems, with applications in various fields and a historical overview of major developments in chaos theory.

Explores Poincaré sections, chaos, and strange attractors in nonlinear physics.

Explores strategic bidding, market power, and Game Theory in power systems, emphasizing optimal bidding strategies and market imperfections.

Explores imperfect competition, cartels, and oligopoly dynamics in markets, analyzing pricing strategies and market outcomes.

Covers linear-quadratic stochastic differential games on directed chain networks and open-loop Nash equilibria.

Explores the Lorenz System, sensitivity to initial conditions, chaotic systems, and topological mixing.