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Merge pull request #232 from huangshiyu13/main
update readme
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README.md

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- Support [Arena](https://openrl-docs.readthedocs.io/en/latest/arena/index.html) , which allows convenient evaluation of
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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.
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- Importing models and datasets from [Hugging Face](https://huggingface.co/)
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- 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.
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- [Tutorial](https://openrl-docs.readthedocs.io/en/latest/custom_env/index.html) on how to integrate user-defined environments into OpenRL.
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README_zh.md

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- 支持自博弈训练
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- 支持自然语言任务(如对话任务)的强化学习训练
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- 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。
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- 支持从[Hugging Face](https://huggingface.co/)上导入模型和数据
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- 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。
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- 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).
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- 支持LSTM,GRU,Transformer等模型
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- 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

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