lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Quickly create and test reinforcement learning algorithms using a simple and flexible PyTorch library.
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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.
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
lagom is an open-source project. It is released under the MIT license.
Yes. lagom is free and open source — you can use, modify and self-host it.
lagom is available under the MIT license.
lagom is written mainly in Jupyter Notebook.
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