To simplify installation process, you can deploy a container (~virtual machine) with all dependencies pre-installed.

tl;dr dockerhub url

We recommend you to use either native docker (recommended for linux) or kitematic(recommended for windows).

• Installing kitematic, a simple interface to docker (all platforms)
• Pure docker: Guide for windows, linux, or macOS.

Below are the instructions for both approaches.

Find justheuristic/practical_rl in the search menu. Download and launch the container.

Click on "web preview" screen in the top-right or go to settings, ports and find at which port your jupyter is located, usually 32***.

docker run -it -v <local_dir>:/notebooks -p <local_port>:8888 justheuristic/practical_rl sh ../run_jupyter.sh

For example, docker run -it -v /Users/mittov/Documents/shad/semester4/:/notebooks -p 8888:8888 justheuristic/practical_rl sh ../run_jupyter.sh

Then you can access your jupyter in a browser at localhost:<local_port>/?token=<token_you_see_in_container_logs>, e.g. localhost:8888/?token=ad1a5a0aab43efb47a9a805388fcf508d0b5f84a16e4542b&token=ad1a5a0aab43efb47a9a805388fcf508d0b5f84a16e4542b

Build container

$ docker build -t dl .

Run it

$ docker run --rm -it -v <local_dir>:/notebooks -p <local_port>:8888 dl

examples:

$ docker run --rm -it -v /Users/mittov/Documents/shad/semester4/:/notebooks -p 8888:8888 dl

Copy the token from console and run http://localhost:8888/?token=