Worksheet and Utilities for AWS DeepRacer – one of the most exciting ways of building strong skills in reinforcement learning and through a hands-on approach. This repository offers: 1) Functionally-rich and flexible reward function 2) Utilities with Jupiter notes for Racing Line calculation and visualisation of track 3) Scripts to parse RoboMaker training and evaluation logs to CSV file 4) Sample Excel file for car behaviour analysis as well as designing and planning new reward curves 5) Coordinates and AWS DeepRacer tracks and images.
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Delete models/BaadalTrack-model-v11/videos/evaluation/evaluation-20211101023836-j9fMuPXqSIKjeVbofaNRQg/camera-pip directory
162b8f1View on GitHubFixed racing line calculation which was off border due to hardcoded tracks' width.
920c83cView on GitHub