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        "author": "Marco Favorito",
        "author_email": "marco.favorito@gmail.com",
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        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# TempRL \n\n[![](https://img.shields.io/pypi/v/temprl.svg)](https://pypi.python.org/pypi/temprl)\n[![](https://img.shields.io/travis/sapienza-rl/temprl.svg)](https://travis-ci.org/sapienza-rl/temprl)\n[![](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue)](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue)\n[![](https://coveralls.io/repos/github/sapienza-rl/temprl/badge.svg?branch=master)](https://coveralls.io/github/sapienza-rl/temprl?branch=master)\n[![](https://img.shields.io/badge/flake8-checked-blueviolet)](https://img.shields.io/badge/flake8-checked-blueviolet)\n[![](https://img.shields.io/badge/mypy-checked-blue)](https://img.shields.io/badge/mypy-checked-blue)\n[![](https://img.shields.io/badge/license-Apache%202-lightgrey)](https://img.shields.io/badge/license-Apache%202-lightgrey)\n\n\nFramework for Reinforcement Learning with Temporal Goals defined by LTLf/LDLf formulas.\n\n\n## Install\n\nInstall from `master` branch:\n\n- with `pip`:\n\n\n        pip3 install git+https://github.com/sapienza-rl/temprl.git\n\n\n- or, clone the repository and install:\n\n\n        git clone htts://github.com/sapienza-rl/temprl.git\n        cd temprl\n        pip install .\n\n\n## Tests\n\nTo run the tests:\n\n    tox\n\nTo run only the code style checks:\n\n    tox -e flake8\n\n## Docs\n\nTo build the docs:\n\n\n    mkdocs build\n    \n\nTo view documentation in a browser\n\n\n    mkdocs serve\n\n\nand then go to [http://localhost:8000](http://localhost:8000)\n\n\n## License\n\nCopyright 2018-2019 Marco Favorito\n\n\n\n# History\n\n## 0.1.0 (2018-04-04)\n\n* First release on PyPI.\n\n## 0.2.0 (2019-07-13)\n\n* Main refactoring of the package.",
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        "keywords": "temprl,reinforcement-learning,temporal-logic",
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