This repository is archived as all needed code is in the Simapp/Robomaker repository

DeepRacer Core

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

Main Components

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.

Building

The different sub-modules will include build.sh scripts.

Requirements:

• Scripts made assuming a Ubuntu 20.04 installation.
• New version of Docker (~version 24), including BuildX (docker-buildx-plugin)

Builds

The built Docker Containers can be found on Docker Hub:

• https://hub.docker.com/r/awsdeepracercommunity/deepracer-rlcoach
• https://hub.docker.com/r/awsdeepracercommunity/deepracer-robomaker
• https://hub.docker.com/r/awsdeepracercommunity/deepracer-sagemaker
• https://hub.docker.com/r/awsdeepracercommunity/deepracer-analysis