Learning meta learning

The word "meta" is defined as "referring to itself or its type or genre". When talking about meta learning, we are talking about understanding the learning process of learning—that is, instead of thinking about how an agent learns a task, we want to think about how an agent could learn to learn across tasks. It is both an interesting and yet abstract problem, so we first want to explore what meta learning is. In the next section, we will explore how machine learning can learn to learn.

Learning 2 learn

Any good learning model should be trained across a variety of tasks and then generalized to fit the best distribution of those tasks. While we have covered very little with respect...