This paper briefly reviews the history of meta-learning and describes its contribution to general AI . Meta-learning improves model generalizationcapacity and devises general algorithms . General AI replaces task-specific models with general algorithmic systems introducing higher level of automation insolving diverse tasks using AI . We summarize main contributions ofmeta-learning to the developments in general AI, including memory module, meta-learner, coevolution, curiosity, forgetting and AI-generating algorithm .

Author(s) : Huimin Peng

Links : PDF - Abstract

Code :
Coursera

Keywords : ai - general - learning - meta - -

Leave a Reply

Your email address will not be published. Required fields are marked *