Connect Four: Game Theory Approach

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Explores solving Connect Four using game theory and algorithms optimization, comparing minimax, 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.

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

Explores solving Connect Four using game theory and algorithms for optimal strategy in minimum time.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

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

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

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

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

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