I am familiar with the basics (and perhaps a substantial amount of basics) of imitation learning and reinforcement learning. In IL (imitation), we take demonstrations from an assumed expert, which we also assume has the most efficient policy.
What does this statement mean: This will train a policy network using the expert dataset and store the results.
Question: Why do I need to TRAIN a policy network? What is it for? Are there any algorithms that come with this training a policy?