Nash equilibrium

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Related lectures (30)

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Markov Games: Concepts and Applications in Reinforcement Learning

Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.

Dynamic Games: Theory and Applications

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

Dynamic Games: Backward Induction and Nash Equilibria

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

Bidding Strategies: Game Theory & Market Power

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

Safe Learning for Autonomous Systems

Explores challenges in control, safety, and coordination for autonomous systems like autonomous cars, focusing on safe learning and Nash equilibria.

Bidding Strategies in Power Systems

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

Market Dynamics: Social Welfare and Economic Models

Examines the interplay between market dynamics and social welfare, highlighting the roles of willingness to pay and willingness to accept in economic models.

Convex Games: Applications and Equilibria

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

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Robustness and Diffusion Models

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