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Lecture
Solving Connect Four: Game Theory Strategies
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Related lectures (28)
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Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory algorithms and compares their efficiency.
Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores applying game theory to optimize strategies in Connect Four using advanced algorithms.
Connect Four: α-β Pruning vs Monte-Carlo Tree Search
Explores strategies to solve Connect Four using α-β pruning and Monte-Carlo tree search.
Connect Four: Game Theory Approach
Explores solving Connect Four using game theory algorithms to find optimal strategies efficiently.
Connect Four: Alpha-Beta Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.
Connect Four: Alpha-Beta Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory algorithms and compares their performance.
Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory and algorithms optimization, comparing minimax, alpha-beta pruning, and Monte-Carlo tree search.
Connect Four: Alpha-Beta Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory and algorithms for optimal strategy in minimum time.
Introduction to Game Theory
Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.
Game Theory: Stackelberg and Backward Induction
Discusses Stackelberg games and backward induction, illustrating game theory concepts through examples and applications in real-world scenarios.