LEARN TO RACE
Learn to Race was founded in 2020 as a capstone project for CMU Masters and Ph.D. students. The intention was to build an OpenAI gym compliant, multimodal control environment. The project’s success led the team to publish whitepapers, present research across international conferences, build a virtual racing simulator to apply reinforcement learning techniques, and host an annual Virtual Autonomous Racing Challenge with over 300 participating teams.
Meet the team