Merge pull request #232 from huangshiyu13/main

update readme

README.md

@@ -61,7 +61,7 @@ Currently, the features supported by OpenRL include:
 - Support [Arena](https://openrl-docs.readthedocs.io/en/latest/arena/index.html) , which allows convenient evaluation of
   various agents (even submissions for [JiDi](https://openrl-docs.readthedocs.io/en/latest/arena/index.html#performing-local-evaluation-of-agents-submitted-to-the-jidi-platform-using-openrl)) in a competitive environment.
 
-- Importing models and datasets from [Hugging Face](https://huggingface.co/)
+- Importing models and datasets from [Hugging Face](https://huggingface.co/). Supports loading [Stable-baselines3 models from Hugging Face](https://openrl-docs.readthedocs.io/en/latest/sb3/index.html) for testing and training.
 
 - [Tutorial](https://openrl-docs.readthedocs.io/en/latest/custom_env/index.html) on how to integrate user-defined environments into OpenRL.
 

README_zh.md

@@ -52,7 +52,7 @@ OpenRL基于PyTorch进行开发，目标是为强化学习研究社区提供一
 - 支持自博弈训练
 - 支持自然语言任务（如对话任务）的强化学习训练
 - 支持[竞技场](https://openrl-docs.readthedocs.io/zh/latest/arena/index.html)功能，可以在多智能体对抗性环境中方便地对各种智能体（甚至是[及第平台](https://openrl-docs.readthedocs.io/zh/latest/arena/index.html#openrl)上提交的智能体）进行评测。
-- 支持从[Hugging Face](https://huggingface.co/)上导入模型和数据
+- 支持从[Hugging Face](https://huggingface.co/)上导入模型和数据。支持加载Hugging Face上[Stable-baselines3的模型](https://openrl-docs.readthedocs.io/zh/latest/sb3/index.html)来进行测试和训练。
 - 提供用户自有环境接入OpenRL的[详细教程](https://openrl-docs.readthedocs.io/zh/latest/custom_env/index.html).
 - 支持LSTM，GRU，Transformer等模型
 - 支持多种训练加速，例如：自动混合精度训练，半精度策略网络收集数据等

examples/sb3/README.md

@@ -1,4 +1,4 @@
-Load and use stable-baseline3 models from huggingface.
+Load and use [stable-baseline3 models](https://huggingface.co/sb3) from huggingface.
 
 ## Installation