A learning theory of meta learning  

作　　者：Fang Yao 

机构地区：[1]School of Mathematical Sciences,Peking University,China

出　　处：《National Science Review》2024年第8期3-4,共2页国家科学评论（英文版）

摘　　要：A key feature of human intelligence is the ability to transfer knowledge learned from multiple learning tasks to other similar but different ones.Namely,humans attempt to learn how to generalize,and thus they can tackle a continuous stream of learning tasks.Correspondingly,in real-world applications,it is always crucial to improve learning in a new task by leveraging knowledge transferred from related tasks that have already been learned.Meta learning or learning to learn aims to tackle such a problem.As an exciting new research direction,there has been a significant interest in developing a theory to formulate meta learning.

关 键 词：TRANSFERRED SUCH HAS 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]