coax · PyPI

Plug-n-play reinforcement learning with OpenAI Gym and JAX

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Development Status
- 1 - Planning
Environment
- GPU :: NVIDIA CUDA
Framework
- Flake8
- IPython
- Jupyter
- Pytest
- Sphinx
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- MacOS :: MacOS X
- POSIX :: Linux
Programming Language
Topic
- Scientific/Engineering :: Artificial Intelligence

Project description

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

Project details

These details have not been verified by PyPI

Project links

Homepage

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 1 - Planning
Environment
- GPU :: NVIDIA CUDA
Framework
- Flake8
- IPython
- Jupyter
- Pytest
- Sphinx
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Natural Language
- English
Operating System
- MacOS :: MacOS X
- POSIX :: Linux
Programming Language
Topic
- Scientific/Engineering :: Artificial Intelligence

Release history Release notifications | RSS feed

0.1.13

Feb 1, 2023

0.1.12

Dec 6, 2022

0.1.11

Jul 22, 2022

0.1.10

May 3, 2022

0.1.9

Dec 17, 2021

0.1.8

Nov 2, 2021

0.1.7

Oct 19, 2021

0.1.6

Feb 5, 2021

0.1.5

Nov 7, 2020

0.1.4

Oct 20, 2020

0.1.3

Oct 6, 2020

0.1.2

Sep 28, 2020

This version

0.1.0rc1 pre-release

Jul 8, 2020

0.0.0

Mar 19, 2020

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Source Distribution

coax-0.1.0rc1.tar.gz (78.7 kB view hashes)

Uploaded Jul 8, 2020 Source

Built Distribution

coax-0.1.0rc1-py3-none-any.whl (170.9 kB view hashes)

Uploaded Jul 8, 2020 Python 3

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