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AgileRL
Python

AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

by AgileRL · GitHub
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agentsagilerlautomlApache-2.0Python
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Train reinforcement learning models faster by using advanced tools and techniques that simplify the process.

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2026-07-202026-08-31
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📄 About

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

AgileRL has 940 stars on GitHub. It has been forked 76 times. AgileRL is written mainly in Python. It has been in active development since 2023. AgileRL is available under the Apache-2.0 license. Its main topics are agents, agilerl, automl, deep-learning.

Frequently asked questions

What is AgileRL?

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Is AgileRL open source?

AgileRL is an open-source project. It is released under the Apache-2.0 license.

Is AgileRL free?

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

What license does AgileRL use?

AgileRL is available under the Apache-2.0 license.

What language is AgileRL written in?

AgileRL is written mainly in Python.

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