This repo contains my analysis notebook and reward function I used for an AWS Deep Racer League. The source for the analysis notebook can be found here: https://github.com/aws-samples/aws-deepracer-workshops/
- Adjust the action space, so the car can train at higher speeds
- Clone your models and "layer" different training environments
- Layer different reward functions (ie. focus on center-line, stay in-between track)
- Speed up training with shallower network architecture