Lecture 1: What is Imitation Learning?

In this series, we will journey into the depths of imitation learning. The purpose of our quest is to answer at a deep, mathematical level a single question:
"What does it mean to imitate?"
The answer, as we shall see, is simple and profound but there are many twists and turns along the way. Let's begin.

For more information about me and my work, check out http://www.sanjibanchoudhury.com/

1. Swamy et al. "Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap" https://arxiv.org/abs/2103.03236
2. Spencer et al. "Learning from Interventions:
Human-robot interaction as both explicit and implicit feedback" http://www.roboticsproceedings.org/rs...
3. Spencer et al. "Feedback in Imitation Learning: The Three Regimes of Covariate Shift"
https://arxiv.org/abs/2102.02872
4. Ross et al. "A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning" https://arxiv.org/abs/1011.0686