Game theory

Related lectures (32)

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Discusses Stackelberg games and backward induction, illustrating game theory concepts through examples and applications in real-world scenarios.

Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.

Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.

Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.

Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.

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

Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

Covers learning dynamics in finite action games and explores various types of equilibria, including correlated and coarse correlated equilibria.

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