Various different TensorFlow models and algorithms that play minesweeper.
- Model 1
- An implementation of reinforcement learning that takes the board as an input and attempts to predict the next best move on the board. This model and algorithm was not optimal.
- Model 2
- An implementation of binary classification that attempts to classify a tile as a mine or not based on the surrounding tiles. This model was significantly more successful than the first.
- Install the required modules:
pip install pygame numpy tensorflow - Use Python 3 to run
main.py. This will open a window and have the pre-trained AI play the game. Additionally, you can run the model files directly to train the corresponding model.