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It was initially created for the stable RL algorithms in the [Stable Learning Control](https://github.com/rickstaa/stable-learning-control) package but can be used with any RL agent requiring a **positive definite cost function**. For more information about stable RL agents see the [Stable Learning Control documentation](https://rickstaa.dev/stable-learning-control).\n\n## Installation and Usage\n\nPlease see the accompanying [documentation](https://rickstaa.dev/stable-gym) for information on installing and using this package.\n\n## Contributing\n\nWe use [husky](https://github.com/typicode/husky) pre-commit hooks and github actions to enforce high code quality. Before contributing to this repository, please check the [contribution guidelines](CONTRIBUTING.md).\n\n\u003e \\[!NOTE]\\\n\u003e We used [husky](https://github.com/typicode/husky) instead of [pre-commit](https://pre-commit.com/), which is more commonly used with Python projects. This was done because only some tools we wanted to use were possible to integrate the Please feel free to open a [PR](https://github.com/rickstaa/stable-gym/pulls) if you want to switch to pre-commit if this is no longer the case.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickstaa%2Fstable-gym","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickstaa%2Fstable-gym","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickstaa%2Fstable-gym/lists"}