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https://github.com/activatedgeek/torchrl

Highly Modular and Scalable Reinforcement Learning
https://github.com/activatedgeek/torchrl

deep-learning deep-reinforcement-learning dqn machine-learning policy-gradient python3 pytorch reinforcement-learning reinforcement-learning-algorithms

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Highly Modular and Scalable Reinforcement Learning

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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/

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+-----------------------------------------------+---------------------------------------------------------+
| *Docs*: ``_ | *Github*: ``_|
+-----------------------------------------------+---------------------------------------------------------+

*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