After setting up from here
Make sure Docker is running.
- In Terminal, navigate to deepracer/rl_coach (cd "your path to deepracer/rl_coach")
- . ./env.sh
- minio server data
- From Terminal, open a new shell (command+T)
- cd .. to return to ~/deepracer
- . sagemaker_venv/bin/activate
- docker pull crr0004/sagemaker-rl-tensorflow:console
- docker tag crr0004/sagemaker-rl-tensorflow:console 520713654638.dkr.ecr.us-east-1.amazonaws.com/sagemaker-rl-tensorflow:coach0.11-cpu-py3
- mkdir -p ~/.sagemaker && cp config.yaml ~/.sagemaker
- cd rl_coach
- export LOCAL_ENV_VAR_JSON_PATH=$(greadlink -f ./env_vars.json)
- ipython rl_deepracer_coach_robomaker.py
- From Terminal, open a new shell (command+T)
- cd .. to return to ~/deepracer
- . sagemaker_venv/bin/activate
- cd rl_coach
- . ./env.sh
- docker pull crr0004/deepracer_robomaker:console
- cd ..
- docker run --rm --name dr --env-file ./robomaker.env --network sagemaker-local -p 8080:5900 -it crr0004/deepracer_robomaker:console
- Open VNC Viewer
- Connect to 127.0.0.1:8080