Alpha–beta pruning

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Reinforcement learning

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Related lectures (12)

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Explores applying game theory to optimize strategies in Connect Four using advanced algorithms.

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Explores strategies to solve Connect Four using α-β pruning and Monte-Carlo tree search.

Solving Connect Four: Game Theory Strategies

Explores game theory strategies to solve Connect Four efficiently using minimax, alpha-beta pruning, and Monte Carlo methods.

Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search

Explores solving Connect Four using game theory algorithms and compares their efficiency.

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Explores solving Connect Four using game theory algorithms and compares their performance.

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.

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Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.

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.

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Explores solving Connect Four using game theory and algorithms optimization, comparing minimax, alpha-beta pruning, and Monte-Carlo tree search.

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