Multistage Games: Extensive Form and Feedback Strategies

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

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.

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.

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

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.