We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:
- Reporting a bug
- Discussing the current state of the code
- Submitting a fix
- Proposing new features
- Becoming a maintainer
We use github to host code, to track issues and feature requests, as well as accept pull requests.
We Use Github Flow, So All Code Changes Happen Through Pull Requests
Pull requests are the best way to propose changes to the codebase (we use Github Flow). We actively welcome your pull requests:
- Fork the repo and create your branch from
master
. - If you've added code that should be tested, add tests.
- If you've changed APIs, update the documentation.
- Ensure the test suite passes.
- Make sure your code lints.
- Issue that pull request!
In short, when you submit code changes, your submissions are understood to be under the same MIT License that covers the project. Feel free to contact the maintainers if that's a concern.
Report bugs using Github's issues
We use GitHub issues to track public bugs. Report a bug by opening a new issue; it's that easy!
Great Bug Reports tend to have:
- A quick summary and/or background
- Steps to reproduce
- Be specific!
- Give sample code if you can.
- What you expected would happen
- What actually happens
- Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)
The codebase follows the Black coding style. Using a autoformatter can make your life easier!
By contributing, you agree that your contributions will be licensed under its MIT License.
This document was adapted from the open-source contribution guidelines for Facebook's Draft and from the Transcriptase adapted version.
You can find a couple things that need to be tackled in the issues of this project. Below is a quick overview of large milestones that could need your help:
- Build
env.render(state)
support by adapting original plotting code. - Add a set of jit-compatible action and observation wrappers.
- Framestacking
- Reward normalization
- Sticky actions
- Greyscaling
- Observation normalization
- Environment registration ala
gym
factory so that users can easily write their own environments and create jittable instances viagymnax.make(<env_name>)
. Currently this is fairly minimal. - Better documentation via
mkdocs
. - More examples for doing cool stuff with vectorized environments.