LINK-minimalRL-pytorch

Implementations of basic RL algorithms with minimal lines of codes! (PyTorch based)

• Each algorithm is complete within a single file.

• Length of each file 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.

Dependencies

1. PyTorch
2. OpenAI GYM

• conda install -c conda-forge gym-all

3. lz4

• pip install lz4

4. nvidia-ml-py3

• pip install nvidia-ml-py3

Git을 통한 초기화 방법 Permalink

1. 기존의 히스토리 삭제 $ rm -rf .git
2. 파일정리 후 새로운 git 설정 $ git init $ git add . $ git commit -m "first commit"
3. git 저장소 연결 후 강제 push $ git remote add origin {git remote url} $ git push -u --force origin master