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Related lectures (16)
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Game Theory: Stackelberg and Backward Induction
Discusses Stackelberg games and backward induction, illustrating game theory concepts through examples and applications in real-world scenarios.
Beyond equilibrium: A dynamical systems approach to learning in games
Delves into learning dynamics in games, exploring chaos, limit cycles, and the interplay between convergence and chaos.
Markov Games: Concepts and Applications in Reinforcement Learning
Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.
Separating Hyperplanes: Theory and Applications
Explores separating hyperplanes for two sets X and Y, discussing conditions for separation and implications of convexity.
Introduction to Game Theory
Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.
Real World Games: Negotiation Strategies
Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.
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: Minimax Theorem
Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.
Zero-Sum Games: Concepts and Applications
Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.
Potential Games: Best-Response Dynamics and Equilibria
Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.
Dynamic Games: Theory and Applications
Covers dynamic games, focusing on their structure, applications, and the transition from tree to loop models.
Dynamic Games: Backward Induction and Nash Equilibria
Covers dynamic games, focusing on backward induction and finding Nash equilibria in two-player scenarios.
LP Duality: An Economics Perspective
Explores LP duality in zero-sum games from an economics perspective, emphasizing optimal strategies and decision-making.
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.
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