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lagom

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

by zuoxingdong · GitHub
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artificial-intelligencecemcmaesMITJupyter Notebook
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In plain words

Quickly create and test reinforcement learning algorithms using a simple and flexible PyTorch library.

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2026-07-202026-08-31
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📄 About

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

lagom has 378 stars on GitHub. It has been forked 31 times. lagom is written mainly in Jupyter Notebook. It has been in active development since 2017. lagom is available under the MIT license. Its main topics are artificial-intelligence, cem, cmaes, ddpg.

Frequently asked questions

What is lagom?

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Is lagom open source?

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

Is lagom free?

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

What license does lagom use?

lagom is available under the MIT license.

What language is lagom written in?

lagom is written mainly in Jupyter Notebook.

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