Observational Learning by Reinforcement Learning
arxiv.org
arxiv.org
Imagine observing a man shaking his leg, first one then the other, then his whole body convulses and twitches - is he dancing ?
Absent the knowledge that a wasp has flown up his trousers leg.
Copying without comprehension may lead to getting stung !
Inverse Reinforcement Learning [1] to reverse engineer goals will be needed especially for embodied AI in Partially Observed Enviroments, i.e. the real world (as opposed to simulations).
Berkeley's CS294-112 [2] Deep Reinforcement Learning for Robotics provides good coverage of methods of mirroring, DAGGer, Deep-Q, iLQR, and IRL.
[1] https://people.eecs.berkeley.edu/~pabbeel/cs287-fa12/slides/...
[2] https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OV...