def __init__(self, game_name, mode_name, input_shape, action_space,
logger_path, model_path):
BaseGameModel.__init__(self, game_name, mode_name, logger_path,
input_shape, action_space)
self.model_path = model_path
self.model = ConvolutionalNeuralNetwork(input_shape,
action_space).model
def __init__(self, game_name, mode_name, input_shape, action_space,
logger_path, model_path):
BaseGameModel.__init__(self, game_name, mode_name, logger_path,
input_shape, action_space)
self.model_path = model_path
self.ddqn = ConvolutionalNeuralNetwork(self.input_shape,
action_space).model
if os.path.isfile(self.model_path):
self.ddqn.load_weights(self.model_path)
def __init__(self, mode_name, input_shape, action_space, logger_path,
model_path):
self.action_space = action_space
self.input_shape = input_shape
self.logger = Logger("Breakout " + mode_name, logger_path)
self.model_path = model_path
self.ddqn = ConvolutionalNeuralNetwork(self.input_shape,
action_space).model
if os.path.isfile(self.model_path):
self.ddqn.load_weights(self.model_path)
def __init__(self, input_shape, action_space):
DDQNGameModel.__init__(
self, "DDQN training", input_shape, action_space,
"./output/logs/training/" + self.get_date() + "/",
"./output/neural_nets/" + self.get_date() + "/model.h5")
if os.path.exists(os.path.dirname(self.model_path)):
shutil.rmtree(os.path.dirname(self.model_path), ignore_errors=True)
os.makedirs(os.path.dirname(self.model_path))
self.ddqn_target = ConvolutionalNeuralNetwork(self.input_shape,
action_space).model
self.reset_target_network()
self.epsilon = EXPLORATION_MAX
self.memory = []
def __init__(self, game_name, mode_name, input_shape, action_space,
logger_path, model_path):
BaseGameModel.__init__(self, game_name, mode_name, logger_path,
input_shape, action_space)
self.model_path = model_path
self.ddqn = ConvolutionalNeuralNetwork(self.input_shape,
action_space).model
#print("test before here")
if os.path.isfile(self.model_path):
print("--------------------------------------")
self.ddqn = load_model(self.model_path)
print("LOADED")
print("model path" + model_path)
print("logger_path" + logger_path)