Minesweeper Implementation using Deep Q-Network (DQN)

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• Implemented most of the game environment entirely from scratch using functions.
• Significantly improved win rate and cumulative score through effective normalization.
• Designed a concrete and fine-grained reward system tailored to the Minesweeper environment.
• Achieved a training win rate of 65% and a test rate of 56%.