import tensorflow as tf

                nf=64,
                rf=3,
                stride=1,
                init_scale=np.sqrt(2)))
        nh = np.prod([v.value for v in c3.get_shape()[1:]])
        h3 = tf.reshape(c3, [-1, nh])
        pre_s = tf.nn.relu(self.fc(h3, 'fc1', nh=512, init_scale=np.sqrt(2)))
        # Critic
        # 定義變數
        # self.tfs = tf.placeholder(tf.float32, [None, image_features], 'state')
