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microsoft
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Description

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|tests| |pypi| |docs| |License|

coax

Plug-n-Play Reinforcement Learning in Python with

OpenAI Gym 
_ and
JAX 
_

|readthedocs|

For the full documentation, including many examples, go to https://coax.readthedocs.io/

Install

coax is built on top of JAX, but it doesn't have an explicit dependence on the

jax
python package. The reason is that your version of
jaxlib
will depend on your CUDA version. To install without CUDA, simply run:

.. code-block::

$ pip install jaxlib jax coax --upgrade

If you do require CUDA support, please check out the

Installation Guide 
_.

Getting Started

Have a look at the

Getting Started 
_ page to train your first RL agent.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the

Microsoft Open Source Code of Conduct 
. For more information see the
Code of Conduct FAQ 
or contact
[email protected] 
_ with any additional questions or comments.

....................................................................................................

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