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GitHub / Daksh2060 / tictactoe-adversarial-opponent
An adversarial agent for playing Tic Tac Toe, offering users the option to choose board size and difficulty level. Utilizes various search algorithms including, but not limited to; Alpha-Beta Pruning, Expectimax, and Minimax. The project provides an interactive interface where users can play against the adversarial agent.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 48.8 KB
Dependencies:
0
Created: about 2 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Topics: adversarial-search, alpha-beta-pruning, expectation-maximization-algorithm, minimax-algorithm, python, tic-tac-toe
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