Metadata-Version: 2.1
Name: coax
Version: 0.1.2
Summary: Plug-n-play reinforcement learning with OpenAI Gym and JAX
Home-page: https://coax.readthedocs.io
Author: Kristian Holsheimer
Author-email: kristian.holsheimer@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Framework :: Flake8
Classifier: Framework :: IPython
Classifier: Framework :: Jupyter
Classifier: Framework :: Pytest
Classifier: Framework :: Sphinx
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: ~=3.6
Requires-Dist: Pillow (>=7.2.0)
Requires-Dist: gym (>=0.17.2)
Requires-Dist: numpy (>=1.19.2)
Requires-Dist: scipy (>=1.5.2)
Requires-Dist: pandas (>=1.1.2)
Requires-Dist: dm-haiku (>=0.0.2)
Requires-Dist: optax (>=0.0.1)
Requires-Dist: tensorboard (>=2.3.0)
Requires-Dist: tensorboardX (>=2.1)
Provides-Extra: dev
Requires-Dist: flake8 (>=3.8.3) ; extra == 'dev'
Requires-Dist: pylint (>=2.6.0) ; extra == 'dev'
Requires-Dist: pur (>=5.3.0) ; extra == 'dev'
Requires-Dist: pytest (>=6.0.2) ; extra == 'dev'
Requires-Dist: pytest-cov (>=2.10.1) ; extra == 'dev'
Requires-Dist: pytest-xdist (>=2.1.0) ; extra == 'dev'
Requires-Dist: twine (>=3.2.0) ; extra == 'dev'
Requires-Dist: gym[atari,box2d] (>=0.17.2) ; extra == 'dev'
Requires-Dist: jax (>=0.2.0) ; extra == 'dev'
Requires-Dist: jaxlib (>=0.1.55) ; extra == 'dev'
Requires-Dist: jupyter (>=1.0.0) ; extra == 'dev'
Requires-Dist: sphinx-autobuild (>=2020.9.1) ; extra == 'dev'


coax: Plug-n-play reinforcement learning in python with OpenAI Gym and JAX.

For full documentation, go to:

    https://coax.readthedocs.io

You can find the source code at:

    https://github.com/microsoft/coax



