diff --git a/docs/user/example.rst b/docs/user/example.rst
index edba484a8..b0bcba5d6 100755
--- a/docs/user/example.rst
+++ b/docs/user/example.rst
@@ -44,10 +44,10 @@ Adversarial Learning
 Reinforcement Learning
 ==============================
 
- - Policy Gradient / Network - Pong Game. Teach a machine to play Pong games, see `tutorial_atari_pong.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_atari_pong.py>`_.
+ - Policy Gradient / Network - Atari Ping Pong, see `tutorial_atari_pong.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_atari_pong.py>`_.
  - Deep Q-Network - Frozen lake, see `tutorial_frozenlake_dqn.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_frozenlake_dqn.py>`_.
  - Q-Table learning algorithm - Frozen lake, see `tutorial_frozenlake_q_table.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_frozenlake_q_table.py>`_.
- - Asynchronous Policy Gradient using TensorDB  - Pong Game by `nebulaV <https://github.com/akaraspt/tl_paper>`_.
+ - Asynchronous Policy Gradient using TensorDB  - Atari Ping Pong by `nebulaV <https://github.com/akaraspt/tl_paper>`_.
  - A3C for continuous action space - Bipedal Walker, see `tutorial_bipedalwalker_a3c*.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_bipedalwalker_a3c_continuous_action.py>`_.