Multistage Games: Extensive Form and Feedback Strategies

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

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

Explores the concept of duality in linear programming, discussing the relationship between primal and dual problems.

Provides guidance on project proposals in game theory, showcasing past examples and emphasizing problem formulation and mathematical modeling.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.

Explores LP duality in zero-sum games from an economics perspective, emphasizing optimal strategies and decision-making.

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

Covers optimization problems in path finding and portfolio allocation.

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.