add rough training time

fluid/DeepQNetwork/README.md

@@ -13,7 +13,7 @@ Based on PaddlePaddle's next-generation API Fluid, the DQN model of deep reinfor
 ### [Atari games introduction](https://gym.openai.com/envs/#atari)
 
 ### Pong game result
-The average game rewards that can be obtained for the three models as the number of training steps changes during the training are as follows:
+The average game rewards that can be obtained for the three models as the number of training steps changes during the training are as follows(about 3 hours/1 Million steps):
 ![DQN result](assets/dqn.png)
 
 ## How to use

fluid/DeepQNetwork/README_cn.md

@@ -11,7 +11,7 @@
 ### [Atari游戏介绍](https://gym.openai.com/envs/#atari)
 
 ### Pong游戏训练结果
-三个模型在训练过程中随着训练步数的变化，能得到的平均游戏奖励如下图所示：
+三个模型在训练过程中随着训练步数的变化，能得到的平均游戏奖励如下图所示（大概3小时每1百万步）：
 ![DQN result](assets/dqn.png)
 
 ## 使用教程