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
Last synced: 5 days ago
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Highly Modular and Scalable Reinforcement Learning
- Host: GitHub
- URL: https://github.com/activatedgeek/torchrl
- Owner: activatedgeek
- License: apache-2.0
- Created: 2018-04-01T07:22:48.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-01-14T00:18:18.000Z (over 5 years ago)
- Last Synced: 2025-03-16T10:33:18.675Z (7 months ago)
- Topics: deep-learning, deep-reinforcement-learning, dqn, machine-learning, policy-gradient, python3, pytorch, reinforcement-learning, reinforcement-learning-algorithms
- Language: Python
- Homepage: https://torchrl.sanyamkapoor.com
- Size: 324 KB
- Stars: 113
- Watchers: 4
- Forks: 9
- Open Issues: 8
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
README
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*: ``_ | *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 ceilingInstall
--------.. 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