RL -- Meta-Learning

A fundamental problem in AI is it cannot learn as efficient as a human. Many deep learning classifiers demonstrate superhuman performance but it requires millions of training samples. Each task are trained independently from others. In this article, we will look into the problems and then check out some of the proposed solutions. We try to define it as "learn how to learn".