release A3C in example docs

Author: zsdonghao

README.md

@@ -170,6 +170,7 @@ Examples can be found [in this repository](https://github.com/zsdonghao/tensorla
  - 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 - 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).
 
 
 ## Applications

docs/user/example.rst

@@ -48,6 +48,8 @@ Reinforcement Learning
  - 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>`_.
+ - 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>`_.
+
 
 Applications
 ==============