AWS DeepRacer Experimentation
This is an informal log of my exploration of AWS DeepRacer training. I hope this might help out someone just getting started or inspire some different approachs.
Reward Functions
Iteration | Model Codename | Strategy |
---|---|---|
1 | "PurePursuit" | A Pure Pursuit algorithm inspired approach |
2 | "RacingLine" | Use waypoints and lane preference to encourage a racing line |
3 | "GetFast" | Add an exponential speed component |
4 | "SelfMotivator" | Simply encourage getting around the track in as few steps as possible |
5 | "Minimalist" | How minimal can we go? |
6 | "re:Invent or Bust!" | Can I create a universal model? |
Hyperparameter Optimizaiton
todo