Inverse Reinforcement Learning for automated grading

This spring semester, I did research on using Inverse Reinforcement Learning to learn a skill and test users, thereby creating automated graders for testing these skills. This is applied to sensorimotor (physical) skills, and a proof of concept is shown for a toy problem of navigating a car in a parking lot. See the presentation and links below for more details.

Other useful links:
PDF of slides