Ensemble
models = []
for i in model_num:
graph = tf.Graph()
sess = tf.Session(graph=graph)
with graph.as_default():
model = ep36.rltradingDQN_hyper(sess,INPUT_SIZE, OUTPUT_SIZE,learning_rate, num_dense_layers,num_dense_nodes, activation)
model.load()
models.append(model)