activatedgeek / Torchrl
Licence: apache-2.0
Highly Modular and Scalable Reinforcement Learning
Stars: ✭ 102
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TorchRL
.. image:: https://travis-ci.com/activatedgeek/torchrl.svg?branch=master :target: https://travis-ci.com/activatedgeek/torchrl
.. image:: https://badge.fury.io/py/torchrl.svg :target: https://pypi.org/project/torchrl/
.. image:: https://img.shields.io/badge/status-beta-green.svg :target: https://pypi.org/project/torchrl/
.. image:: https://img.shields.io/pypi/pyversions/torchrl.svg :target: https://github.com/activatedgeek/torchrl
+-----------------------------------------------+---------------------------------------------------------+
| Docs: <https://torchrl.sanyamkapoor.com>_ | Github: <https://github.com/activatedgeek/torchrl>_|
+-----------------------------------------------+---------------------------------------------------------+
TorchRL provides highly modular and extensible approach to experimenting with Reinforcement Learning. All this is accessible via a simple programmatic interface with experiment specifications.
Objectives
- Modularity in the RL pipeline
- Clean implementations of fundamental ideas
- Fast Experimentation
- Scalability
- Low bar and High ceiling
Install
.. code:: shell
pip install torchrl
Install from source for the latest changes that have not been published to PyPI.
.. code:: shell
pip install https://github.com/activatedgeek/torchrl/tarball/master
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