def __init__(self,
color="black",
time_limit=5,
gui=None,
headless=False,
strategy=OthelloHeuristic.DEFAULT_STRATEGY):
super(ComputerPlayer, self).__init__(color, time_limit, gui, headless)
heuristic = OthelloHeuristic(strategy)
self.ai = GameArtificialIntelligence(heuristic.evaluate)
def __init__(self, color="black", time_limit=5, gui=None, headless=False, epochs=5, batch_size=100):
super(DeepLearningPlayer, self).__init__(color, time_limit, gui, headless)
self.model = Net()
self.ai = GameArtificialIntelligence(self.evaluate_board);
if torch.cuda.is_available():
self.model.cuda(0)
print "CUDA activated"
# print(self.model)
try:
self.model = DataHandler.load_weights(self.name)
except Exception:
if epochs != 0:
self.train_model(epochs=epochs, batch_size=batch_size)
def __init__(self, color="black", time_limit=5, gui=None):
super(ComputerPlayer, self).__init__(color, time_limit, gui)
heuristic = OthelloHeuristic()
self.ai = GameArtificialIntelligence(heuristic.evaluate)
