Imitation Learning (IL) is a machine learning approach to learn a policy from a set of demonstrations. IL can be useful to kick-start learning before applying reinforcement learning (RL) but it can also be useful on its own, e.g. to learn to imitate …
The relationship between humankind and technology is fundamental, but also a longstanding source of unease, particularly as that relationship has become ever more intimate and irreversible. In this paper, I connect this age-old anxiety with the …