[PyTorch Based]

​

Hi,

for those of you who are interested in RL,

​

I recently implemented basic RL algorithms such as

REINFORCE, vanilla actor-critic, DDPG, A3C, DQN and PPO with PyTorch.

​

Characteristics are as follows :

• Each algorithm is complete within a single file.
• Length of each algorithm is up to 100~150 lines of codes.
• Every algorithm can be trained within 30 seconds, even without GPU.
• Envs are fixed to “CartPole-v1”. You can just focus on the implementations.

​

As you can see in the name of the repository,

I tried to make the code as brief and intuitive as possible.

​

Hope you enjoy 🙂

Thank you.

​

https://github.com/seungeunrho/minimalRL