Introduction to 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.

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.

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

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

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

Explores game theory, decision-making in interdependent environments, equilibrium concepts, and economic applications in management.