SHARPIE Gallery

Shared Human-AI Reinforcement Learning Platform for Interactive Experiments Gallery

This repository presents use-cases for SHARPIE.

Usage instructions

• Install SHARPIE by following the instructions on the main repository
• Choose one (or several) of the use-cases and follow the instructions in the README.md file
• Copy the experiments you selected under the experiments folder of the runner
• Lauch the webserver as explained on the SHARPIE repository and the runner using cd runner && python manage.py runserver

Content of the use-cases

Each use-case folder contains configuration files for the backend environment and agent(s). This includes:

• environment.py
  • Environment instance, this can be any environment as long as it defines reset(), step(action) and render()
  • Input mapping from the captured inputs to the action(s) needed by the environment
  • Termination condition of the environment
• agent.py
  • Agent instances list, this can be any class as long as it defines sample(obs)