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@ -42,7 +42,7 @@ EasyRL - 蘑菇书: [website](https://datawhalechina.github.io/easy-rl/#/)<br>
# Imitation Learning - 模仿学习
模仿学习简洁教程 - 南京大学LAMDA: [PDF](https://www.lamda.nju.edu.cn/xut/Imitation_Learning.pdf)<br>
Supervised Policy Learning for Real Robots, RSS 2024 Workshop 教程: 真实机器人的监督策略学习, [bilibili](https://www.bilibili.com/video/BV1Fx4y1s7if/?buvid=XY415384A771A6C681C9BEB3817566ED57724&is_story_h5=false&mid=ORgXkVzTHaOKTsml0RX5Gw%3D%3D&plat_id=240&share_from=ugc&share_medium=android&share_plat=android&share_source=WEIXIN&share_tag=s_i&spmid=dt.space-dt.0.0&timestamp=1721464513&unique_k=Cqj5d9J&up_id=2185804&vd_source=ab9cf5374617c2867aaea34af29b53c9)
Supervised Policy Learning for Real Robots, RSS 2024 Workshop 教程：真实机器人的监督策略学习, [bilibili](https://www.bilibili.com/video/BV1Fx4y1s7if/?buvid=XY415384A771A6C681C9BEB3817566ED57724&is_story_h5=false&mid=ORgXkVzTHaOKTsml0RX5Gw%3D%3D&plat_id=240&share_from=ugc&share_medium=android&share_plat=android&share_source=WEIXIN&share_tag=s_i&spmid=dt.space-dt.0.0&timestamp=1721464513&unique_k=Cqj5d9J&up_id=2185804&vd_source=ab9cf5374617c2867aaea34af29b53c9)
<section id="llm_robot"></section>
@ -107,7 +107,7 @@ DeepTimber Robotics Innovations Community, 深木科研交流社区: [website](
宇树Unitree: [website](https://www.unitree.com/cn)<br>
# 🙏 Acknowledgement - 致谢
本文转载/引用了大量博主的文章，我们对他们的知识分享表示感谢，引用列表如下:
本文转载/引用了大量博主的文章，我们对他们的知识分享表示感谢，引用列表如下：
| Since 2024 🌹 | | | |
|------|------|------|------|
| [1] 知乎[穆尧](https://www.zhihu.com/people/mu-yao-12-34) | [2] 知乎[东林钟声](https://www.zhihu.com/people/dong-lin-zhong-sheng-76), Github[Yunlong Dong](https://github.com/yunlongdong) | [3] 知乎[强化学徒](https://www.zhihu.com/people/heda-he-28) | [4] 知乎[Biang哥](https://www.zhihu.com/people/qi-da-guang) | [5] OpenAI [Lilian Weng](https://lilianweng.github.io/) |