arXiv 2610.13912 · cs.CL · 2026-10-09
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
Taoyong Cui, Pinxian Zeng, Wanghan Xu, Hao Xiao, Shuhan Xue, Qiang Gao, Wanli Ouyang, Pheng Ann Heng 等 11 人
PhAI Labs
在最新榜 #69 本站收录于 2026-10-21
一句话要点
RSI-Anything 借助预测式世界模型选择行动和训练数据,实现跨领域的递归自我改进。
RSI-Anything uses predictive world models to guide actions and data selection for domain-general recursive self-improvement.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题:智能体
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数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写,不转载摘要原文,请阅读原文。