CS 285: Lecture 2, Imitation Learning. Part 1

[@ShanshanZhang-kw5qf]

So happy to find this open source here!!!

[@joshuasheppard7433]

Incredibly well explained. Thank you! Great examples at the end.

[@suhaschelian]

6:36 observation and state are mislabeled at the bottom the slide (order should be reversed)

[@manigoyal4872]

so if we have large amount of data in imitation learning, do we still have a chance where the agent goes wrong by a large extent?