def train(self,
player=Player('X'),
board=Board(),
previous_key=None,
previous_move=None):
memory_key = Model.MEMORY_KEY.format(player.char, board.key)
if memory_key not in self.memory.keys():
self.memory[memory_key] = {
'weights': [0, 0, 0, 0, 0, 0, 0, 0, 0],
'childs': [],
'previous_key': previous_key,
'previous_move': previous_move
}
self._set_all_related(memory_key)
for index in range(9):
_board = Board(board.key)
done, winner = _board.add(player, index)
if done:
if winner:
self._set_weight(
memory_key, index, 3.0 if winner.char == 'X' else
-2.0 if winner.char == 'O' else -1.0)
if winner is False:
self.train(
player=Player('X' if player.char == 'O' else 'O'),
board=_board,
previous_key=memory_key,
previous_move=index)
if not previous_key:
self._cleanup()