This week I worked on Homework 1: Imitation Learning from the Fall 2017 CS294 course at Berkeley. Professor Levine is an amazing lecturer and the information he covers in one lecture is quite dense.
Imitation Learning is a form of Supervised machine learning for behavior. For this exercise, we were supplied with expert policies for six different OpenAI Gym Mujoco environments. Each environment has different observation and action spaces: