Nov 28, 2018
Learning to learn: meta-learning a way to reinforce efficency of multi-tasks for robots
Learning to learn: meta-learning a way to reinforce efficency of multi-tasks for robots
As the title of this post suggests, learning to learn is defined as the concept of meta-learning. This new concept was originally introduced by a paper called Model-Agnostic Meta-Learning for fast adaptation of Deep Networks, a paper co-authored by Chelsea Finn, Peter Abbeel and Sergey Levine at University of Berkeley. In the paper it is claimed tha it is possible to design a meta-learning…
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