Game Theory: Stackelberg and Backward Induction

Related lectures (32)

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

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

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

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

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

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

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

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

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

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