We used ML-Agents in Unity to train the MIT-designed RACECAR (Rapid Autonomous Complex Environment Competing Ackermann steeRing) on a cone slaloming course.
We used Proximal Policy Optimization, Imitation Learning, GAIL, and Curriculum to train a neural network model.
Final presentation video: https://youtu.be/HjLCPo5ZN3c
Mehul Rao
Daniel Chuang
Steven Lei
Austin Huang
The original simulation can be found here: https://github.com/MITLLRacecar/Simulation