def machine_turn(
self
): # TODO: Use your minimax alpha beta pruning algorithm here to set the machines turn
# option=mini_max(self.board,False,_MACHINE_SYMBOL)
# self.board=option[1]
option = mini_max_ab(self.board, False, _MACHINE_SYMBOL, -np.inf,
np.inf)
self.board = option[1]
def machine_turn(
self
): # TODO: Finish this function by making the machine choose a random cell (use random module)
#value = randint(0,8)
#while(self.board[value] is not None):
# value = randint(0,8)
#self.board[value] = _MACHINE_SYMBOL
#print(mini_max_ab(self.board, False, _MACHINE_SYMBOL, -1, -1)[1])
self.board = mini_max_ab(self.board, False, _MACHINE_SYMBOL, -9999,
9999)[1]
def machine_turn(
self
): # TODO: Use your minimax alpha beta pruning algorithm here to set the machines turn
self.board = mini_max_ab(self.board, True, _MACHINE_SYMBOL,
float('-inf'), float('inf'), 2)[1]
def machine_turn(self):
self.board = mini_max_ab(self.board,False,_MACHINE_SYMBOL,-1,-1)[1]
def machine_turn(
self
): # TODO: Use your minimax alpha beta pruning algorithm here to set the machines turn
self.board = mini_max_ab(self.board, False, _MACHINE_SYMBOL, -1, -1)[1]
def machine_turn(self): # TODO: Finish this function by making the machine choose a random cell (use random module) self.board = mini_max_ab(self.board, True, _MACHINE_SYMBOL, -2, 2)[1]
def machine_turn(self):
alpha = -1
beta = 1
self.board = mini_max_ab(self.board, False, _MACHINE_SYMBOL, alpha,
beta)[1]