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Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
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Multistage Games: Extensive Form and Feedback Strategies
Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.
Potential Games: Best Response Dynamics and Nash Equilibria
Covers potential games, best response dynamics, and the convergence 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.
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.
Game Theory: Minimax Theorem
Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.
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Binary Search: Logarithm Function
Explains binary search, the logarithm function, and recursive algorithms for factorial and Fibonacci sequences.
Matrix-Matrix Multiplication: Algorithms and Applications
Explores theoretical and practical aspects of fast matrix-matrix multiplication algorithms and their significance in computer science.
Convex Games: Applications and Equilibria
Covers convex games, their equilibria, and applications in various fields such as traffic and electricity markets.