A notebook to visualize Deep Reinforcement Learning control on the falling liquid film

This notebook uses code from this project : https://github.com/vbelus/falling-liquid-film-drl and requires Docker.

Because of that, when cloning this repo, you have to use the --recurse-submodules flag to clone the main repo as well :

git clone --recurse-submodules https://github.com/vbelus/drl-fluid-film-notebook

• For Ubuntu/Mac users :

To launch the docker, go into the folder where this README file is with a bash shell :

cd [path]

Then build the docker image :

docker build . -t drl-fluid-film-notebook:latest

And run it :

docker run -it -p 8888:8888 drl-fluid-film-notebook:latest

It will then ask you to paste a certain adress in your browser, do that

• For windows users :

To launch the docker, go into the folder where this README file is with a PowerShell (open a PowerShell by typing PowerShell in the search bar) :

cd [path]

Then build the docker image :

docker build . -t drl-fluid-film-notebook:latest`

And run it :

docker run -it -p 8888:8888 drl-fluid-film-notebook:latest

It will then ask you to paste a certain adress in your browser, it should look like this : http://0.0.0.0:8888/?token=[token]

Just replace 0.0.0.0 by localhost, that is, copy/paste this exact adress in your browser by replacing 0.0.0.0 by localhost : http://localhost:8888/?token=[token]