Learning to drive using Reinforcement Learning

This project is unique because I have worked on it with different people at different universities in different semesters. Each iteration has attempted to improve upon the last. It began in Spring 2016 at Georgia Tech in collaboration with Chris Chow, Prabhudev Prakash and Punarva Katte and has been improved upon at Carnegie Mellon in collaboration with Tara Pirnia, Hillary Wehry and Matthew Harding. The objective of this project is to build Reinforcement Learning agents that can learn how to drive (well) in The Open Racing Car Simulator (TORCS) video game. I continue to work on it as a hobby whenever time permits.

I am still working on putting a more detailed writeup of this project in place. Please come back to visit later.