Contributing
MDPax is a new library aimed at researchers and practitioners. As we’re in the early stages of development, we particularly welcome feedback on the API design and suggestions for how we can make the library more accessible to users with different backgrounds and experience levels. Our goal is to make using GPUs to solve large MDPs as straightforward as possible while maintaining the flexibility needed for research applications.
Contributions are welcome in many forms:
API and Documentation Feedback:
Is the API intuitive for your use case?
Are there concepts that need better explanation?
Would additional examples help?
Open an issue with your suggestions or questions
Bug Reports: Open an issue describing:
What you were trying to do
What you expected to happen
What actually happened
Steps to reproduce the issue
Feature Requests: Open an issue describing:
The use case for the feature
Any relevant references (papers, implementations)
Possible implementation approaches
Pull Requests: For code contributions:
Open an issue first to discuss the proposed changes
Fork the repository
Create a new branch for your feature
Follow the existing code style (enforced by pre-commit hooks)
Add tests for new functionality
Update documentation as needed
Submit a PR referencing the original issue
New Problem Implementations: We’re particularly interested in helping users implement new MDP problems:
Open an issue describing the problem and citing any relevant papers
We can help with the implementation approach and best practices
This is a great way to contribute while learning the package
All contributions will be reviewed and should pass the automated checks (tests, linting, type checking).