a3c

Author: MorvanZhou

README.md

@@ -33,6 +33,7 @@ which is a great contribution to this tutorial.
   * [RNN-Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py)
   * [AutoEncoder](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py)
   * [DQN Reinforcement Learning](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/405_DQN_Reinforcement_learning.py)
+  * [A3C Reinforcement Learning](https://github.com/MorvanZhou/pytorch-A3C)
   * [GAN (Generative Adversarial Nets)](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_GAN.py) / [Conditional GAN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_conditional_GAN.py)
 * Others (WIP)
   * [Why torch dynamic](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/501_why_torch_dynamic_graph.py)