arXiv · AI· Hai Zhou, Fan Yang, Zeyi Chen, Lejun Zhang, Chenyang Fu, Jianping Li, Jiayi Zhu, Xianyang Liu, Yingxuan Yang, Lili Meng, Lu Wang, Xinyang Han, Jiankai Sun, Weirui Ye, Guanchu Wang, Wanhua Li, Ming Zhou, Boyi Li, Ming Jin, Kun Shao, Muhao Chen, Guang Chen, Lei Ma, Joey Tianyi Zhou, Costas Spanos, Xia Hu, Mac Schwager, Weinan Zhang, Qian Feng, Shangding Gu·· 10 天前AI 评分37
物理递归自我改进（Physical RSI）研究综述与 L0-L5 框架提出
Who Improves the Robot? Toward Physical Recursive Self-Improvement
AI 导读
研究探讨物理递归自我改进，提出 L0-L5 框架以区分能力级与元级更新。现有文献尚未证明其定义下的 Physical RSI，需优先解决可靠反馈与因果归因问题。
来源：arXiv · AI · arxiv.org