interpreting-rl-behavior.github.io

Steps for setting up development

1. Clone the repository with git clone
2. Run npm install inside the repository
3. Run npm run dev to start a local web server at http://localhost:8080/

The article text and high level formatting resides in /src/index.ejs. Custom javascript files should be stored in /src. Images, videos and custom css should be stored in /static.

Build and deploy

1. Run npm run build. This will create or update the /docs directory with the compiled html and accompanying files.

After pushing to the remote, github will read from the /docs directory automatically and deploy to https://interpreting-rl-behavior.github.io/

Data import

The data import script requires output of the preprocessing scripts in the https://github.com/interpreting-rl-behavior/models--interpreting-rl-behavior repo. It reads this data, and reformats it into json and images. By default it will overwrite the static/data folder.

You can run the script from the base of the website repo with

$ python import_data --samples [num samples to import] --input_directory [path to the train-procgen-pythorch repo] --output_directory [path to where you want the data exported]

Panel view

When the server is running locally, you can visit localhost:8080/panel.html to interact with the data. If there is data in static/localData it will use this data by default. If not, it will use the data in static/data.