AWS DeepRacer
ArchivedA reinforcement learning model for autonomous racing that placed 37th of about 3,940 racers in AWS’s October 2022 Open qualifier.
37th of about 3,940 racers in the October 2022 Open qualifier, under the name G3mha. That’s the top 1%.
Nearly all of the result came from the reward function rather than the model. The default reward pays the car for staying near the centre line, which produces a car that drives slowly and safely and loses. Paying instead for speed held through a corner exit, with a penalty curve steep enough to keep it on the track, produces a lap that’s quicker and much more prone to failure. Most of the 2022 season was spent finding where between those two a model still finishes.