The DeepRacer Core repository is a utility that is pulling together the different components required for DeepRacer local training. It is not meant for direct usage. If you are looking for the end-user interface to run training locally please go to Deepracer-for-Cloud
The primary components of DeepRacer are four docker containers:
- Robomaker Container: Responsible for the robotics environment. Based on ROS + Gazebo as well as the AWS provided "Bundle". Uses components of AWS Robomaker
- Sagemaker Container: Responsible for training the neural network. Uses components of AWS Sagemaker
- Reinforcement Learning (RL) Coach: Responsible for preparing and starting the Sagemaker environment.
- Log-Analysis: Providing a containerized Jupyter Notebook for analyzing the logfiles generated. Uses Deepracer Utils.
The built Docker Containers can be found on Docker Hub: