semvec/pypi-packages huggingface dataset:
coax 0.1.13
Plug-n-play reinforcement learning with Gymnasium and JAX
License: MIT
Requires Python: ~=3.6

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


coax
====

Plug-n-Play Reinforcement Learning in Python with `Gymnasium <https://gymnasium.farama.org>`_
(formerly OpenAI Gym) and `JAX <https://jax.readthedocs.io>`_

|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 <https://coax.readthedocs.io/examples/getting_started/install.html>`_.


Getting Started
---------------

Have a look at the
`Getting Started <https://coax.readthedocs.io/examples/getting_started/prereq_jax.html>`_ page to
train your first RL agent.


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