Whoever align their five pieces first, vertically, horizontally or diagonally, wins the game.
- Clone the repo, and change the directory to the repo.
- Install the dependencies (use virtualenv):
pip3 install -r requirements.txt - Run the main.py file:
python3 main.py
- It consists of a board with 11 * 11 (121) positions by default.
- Each player, turn by turn, place their piece (black or white) on the available places.
- The player, who places their pieces vertically, horizontally or diagonally first, wins the game.
- A training data contains two states of the board: before making the move and after making the move.
- Before making the move means the current state of the board on which the player has to make the decision.
- After making the move means the next state of the board after the player has made the move.
- Play the game yourself in which the opponent could be
- Random player - who places their pieces randomly on the board
- Myself - I play for both sides
- The model detects the edges (points connecting where the pieces are placed) and generates the new edges as output.
- Provide the training dataset where each data point is a tuple: (current_board_state, next_board_state).
- current_board_state: 11*11 matrix with values -1, 0 and 1.
- 1 and -1 indicate the pieces placed by the two players.
- 0 indicates the empty places.
- next_board_state: 11*11 matrix with values -1, 0 and 1 (as explained above).
- current_board_state: 11*11 matrix with values -1, 0 and 1.
- The model, when provided with the current_board_state, should predict the next_board_state.
- Train the model by rewarding when the player is closer to winning and punishing when the player is closer to losing.