Lectures related to Potential Games: Best-Response Dynamics and Equilibria

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

Potential Games: Best Response Dynamics and Nash Equilibria

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

Markov Games: Concepts and Applications in Reinforcement Learning

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

Static Games: Introduction to Game Theory Concepts

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

Zero-Sum Games: Concepts and Applications

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

Game Theory: Decision Making in Interdependent Environments

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

Game Theory: Stackelberg and Backward Induction

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

Multistage Games: Extensive Form and Feedback Strategies

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

Game Theory Applications: Project Proposals and Examples

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

Game Theory: Learning in Finite Action Games

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

Dynamic Games: Theory and Applications

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

Market Dynamics: Social Welfare and Economic Models

Examines the interplay between market dynamics and social welfare, highlighting the roles of willingness to pay and willingness to accept in economic models.

Real World Games: Negotiation Strategies

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

Dynamic Games: Backward Induction and Nash Equilibria

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

Convex Games: Applications and Equilibria

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

Multi-Agent Systems: Traffic Management and Pricing Strategies

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

Safe Learning for Autonomous Systems

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

Bidding Strategies: Game Theory & Market Power

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

Imperfect Competition: Cartels and Oligopoly

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

Approximation Algorithms

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