Eric Av's Video experience: Autonomous driving has captured academic and public imaginations for years. This project attempts to implicitly teach a car to follow the best optimized route to a destination while avoiding obstacles. The car is taught the optimized route based on a reward/penalty system via reinforcement learning.
This video describes my experience with the CAT Vehicel REU program at the University of Arizona during the 2019 summer. During this program, I realized I enjoy making games for reinforcement learning and what I wanted to research in graduate school. I would recommend this program due to the great mentors who supported me and the friends I made over the summer.
Video about Chris's CAT Vehicle Project: showing that a vehicle with FollowerStopper in a singular lane without merges will not crash and that it will be string stable, effectively dissipating human-caused traffic waves if enough vehicles are deployed in the traffic flow.