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HandyRL
Python

HandyRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

by DeNA · GitHub
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deep-learningdistributed-traininggamesPython
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In plain words

Create and train AI agents for your own games using a straightforward framework for distributed learning.

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305304
2026-07-202026-08-31
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📄 About

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

HandyRL has 304 stars on GitHub. It has been forked 45 times. HandyRL is written mainly in Python. It has been in active development since 2020. Its main topics are deep-learning, distributed-training, games, machine-learning.

Frequently asked questions

What is HandyRL?

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

Is HandyRL open source?

HandyRL is an open-source project.

Is HandyRL free?

Yes. HandyRL is free and open source — you can use, modify and self-host it.

What language is HandyRL written in?

HandyRL is written mainly in Python.

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