Introduction to Game Theory

Related lectures (32)

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

Explains the determination of equilibrium state prices in asset pricing through consumption market clearing and budget constraints.

Delves into learning dynamics in games, exploring chaos, limit cycles, and the interplay between convergence and chaos.

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.

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.

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

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

Explores imperfect competition, cartels, and oligopoly dynamics in markets, analyzing pricing strategies and market outcomes.

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

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

Covers multi-agent systems in traffic management and dynamic pricing strategies using game theory.

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

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

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