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OfflineRL-Kit
Python

OfflineRL-Kit

An elegant PyTorch offline reinforcement learning library for researchers.

by yihaosun1124 · GitHub
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deep-learningdeep-reinforcement-learningoffline-reinforcement-learningMITPythonSelf-hostable
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In plain words

Use a library to develop and test offline reinforcement learning algorithms with clear structure and easy scalability.

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2026-07-202026-08-31
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📄 About

An elegant PyTorch offline reinforcement learning library for researchers.

OfflineRL-Kit has 393 stars on GitHub. It has been forked 50 times. OfflineRL-Kit is written mainly in Python. It has been in active development since 2022. OfflineRL-Kit is available under the MIT license. Its main topics are deep-learning, deep-reinforcement-learning, offline-reinforcement-learning, offlinerl.

Frequently asked questions

What is OfflineRL-Kit?

An elegant PyTorch offline reinforcement learning library for researchers.

Is OfflineRL-Kit open source?

OfflineRL-Kit is an open-source project. It is released under the MIT license.

Is OfflineRL-Kit free?

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

What license does OfflineRL-Kit use?

OfflineRL-Kit is available under the MIT license.

What language is OfflineRL-Kit written in?

OfflineRL-Kit is written mainly in Python.

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