Lectures related to Cooperative game theory

Coalitions and Group Decisions

Explores Cooperative Game Theory, focusing on group decisions, voting protocols, manipulation, and the challenges of games with more than two players.

Introduction to Game Theory

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

Convex Games: Applications and Equilibria

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

Game Theory: Stackelberg and Backward Induction

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

Separating Hyperplanes: Theory and Applications

Explores separating hyperplanes for two sets X and Y, discussing conditions for separation and implications of convexity.

Potential Games: Best Response Dynamics and Nash Equilibria

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

Potential Games: Best-Response Dynamics and Equilibria

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

Dynamic Games: Backward Induction and Nash Equilibria

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

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.

Markov Games: Concepts and Applications in Reinforcement Learning

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

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.

Dynamic Games: Theory and Applications

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

Real World Games: Negotiation Strategies

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

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.

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: Decision Making in Interdependent Environments

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

Game Theory: Minimax Theorem

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

Human Robotics: Sensory Augmentation and Interaction Mechanics

Delves into sensory augmentation and interaction mechanics in human robotics, covering haptic communication, motor interaction benefits, and differential game theory.

Zero-Sum Games: Concepts and Applications

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