Before revision:  In particular, L2L shows that RSNNs can learn large families of non-linear transformations from very few examples , using previously unknown network learning mechanisms. Furthermore, meta-reinforcement learning (meta-RL) shows that LSNNs can learn and execute complex exploration and exploitation strategies .
After revision:  In particular, L2L shows that RSNNs can learn large families of non-linear transformations from very few examples . We demonstrate this for supervised learning and reinforcement learning .