https://github.com/joaopfonseca/recourse-over-time

Analysis of multi-agent, multi-step dynamics in an environment informed by algorithmic recourse techniques.
https://github.com/joaopfonseca/recourse-over-time

Last synced: 9 days ago
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Analysis of multi-agent, multi-step dynamics in an environment informed by algorithmic recourse techniques.

• Host: GitHub
• URL: https://github.com/joaopfonseca/recourse-over-time
• Owner: joaopfonseca
• License: mit
• Created: 2023-02-15T16:27:20.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-11T12:56:59.000Z (11 months ago)
• Last Synced: 2024-10-12T04:45:46.252Z (25 days ago)
• Language: Jupyter Notebook
• Size: 55.3 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 9
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Awesome Lists containing this project

README

        
Recourse Game

=============

**recourse-game** is a Python module designed for algorithmic recourse built

on top of Scikit-Learn and is distributed under the MIT license.

This repository contains an implementation of the agent-based simulation

framework proposed in "Setting the Right Expectations: Algorithmic Recourse

Over Time" by Fonseca et al.

This repo is currently under active development and more features are expected

to be added in the future.

Installation

------------

Dependencies

~~~~~~~~~~~~

recourse-game requires:

- Python (>= )

- 

=======

Recourse-learn plotting capabilities (i.e., the ``recgame.visualization``

submodule) require Matplotlib (>= ). To use the DiCE algorithm, the library

``dice-ml`` is required.

User installation

~~~~~~~~~~~~~~~~~

The easiest way to install recourse-game is using ``pip``::

    pip install -U recourse-game

The documentation will include more detailed installation instructions.

Environments

------------

Algorithmic Recourse

--------------------

Funding

-------