Reinforcement Learning with Tensorflow
This is a series of tutorials about Reinforcement Learning implemented by Tensorflow.
These tutorials don't aim to reproduce the methods used in the original papers, but for algorithms in a quite easy version.
Generally they are for learning and basic understanding, but not production.
- Tabular Q Learning
- Double DQN
- Double DQN 2.0
- Double DQN with Portional Preoritized Experience Replay
- Dueling Double DQN
- Policy Gradient
- Actor Critic
More will be updated in the near future.
Setup and Run
git clone https://github.com/wangshuailong/reinforcement_learning_with_Tensorflow.git cd DQN (Or other folds you want) pytho3 run.py