An elegant PyTorch offline reinforcement learning library for researchers.
Use a library to develop and test offline reinforcement learning algorithms with clear structure and easy scalability.
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Free · no card · unsubscribe anytimeAn 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.
An elegant PyTorch offline reinforcement learning library for researchers.
OfflineRL-Kit is an open-source project. It is released under the MIT license.
Yes. OfflineRL-Kit is free and open source — you can use, modify and self-host it.
OfflineRL-Kit is available under the MIT license.
OfflineRL-Kit is written mainly in Python.
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