Simple, well-commented Pytorch implementations of REINFORCE and Actor Critic RL methods.
Many RL tutorials contain superfluous code or use a Jupyter notebook with lots of text. This repo aims to be a no-frills implementation (i.e. maximally shortened) of REINFORCE and Actor Critic RL methods.
Start by reading over reinforce.py as it is the simplest method. After that, read about actor critic methods (see this comic), then look at the code. The comments assume basic knowledge of RL. It helps to have an understanding of traditional RL (i.e. pre-NNs, Bellman equations) before trying your hand with Pytorch or OpenAI Gym.
The models shold train within several minutes on a modern laptop CPU.