Game Theory Applications: Project Proposals and Examples

Related lectures (31)

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Covers potential games, best response dynamics, and the convergence to Nash equilibria.

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

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

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

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

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

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

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