Add isort and black badge (vwxyzjn#119)

RL-code-lib · Feb 22, 2022 · b77d55a · b77d55a
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diff --git a/README.md b/README.md
@@ -8,6 +8,9 @@ https://img.shields.io/github/license/vwxyzjn/cleanrl">
 [<img src="https://badge.fury.io/py/cleanrl.svg">](
 https://pypi.org/project/cleanrl/)
 [<img src="https://img.shields.io/youtube/channel/views/UCDdC6BIFRI0jvcwuhi3aI6w?style=social">](https://www.youtube.com/channel/UCDdC6BIFRI0jvcwuhi3aI6w/videos)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
+
 
 
 CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. The highlight features of CleanRL are:

diff --git a/docs/index.md b/docs/index.md
@@ -1,5 +1,6 @@
 # CleanRL
 
+
 <img src="
 https://img.shields.io/github/license/vwxyzjn/cleanrl">
 [![tests](https://github.com/vwxyzjn/cleanrl/actions/workflows/tests.yaml/badge.svg)](https://github.com/vwxyzjn/cleanrl/actions/workflows/tests.yaml)
@@ -8,6 +9,8 @@ https://img.shields.io/github/license/vwxyzjn/cleanrl">
 [<img src="https://badge.fury.io/py/cleanrl.svg">](
 https://pypi.org/project/cleanrl/)
 [<img src="https://img.shields.io/youtube/channel/views/UCDdC6BIFRI0jvcwuhi3aI6w?style=social">](https://www.youtube.com/channel/UCDdC6BIFRI0jvcwuhi3aI6w/videos)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
 ## Overview