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evorl
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evorl

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration wi

by EMI-Group · GitHub
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automlevolutionary-algorithmsgpu-accelerationGPL-3.0Python
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Run and train AI models that learn and evolve using GPU power.

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2026-07-202026-08-31
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EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration wi

evorl has 343 stars on GitHub. It has been forked 47 times. evorl is written mainly in Python. It has been in active development since 2024. evorl is available under the GPL-3.0 license. Its main topics are automl, evolutionary-algorithms, gpu-acceleration, hpo.

Frequently asked questions

What is evorl?

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration wi

Is evorl open source?

evorl is an open-source project. It is released under the GPL-3.0 license.

Is evorl free?

Yes. evorl is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does evorl use?

evorl is available under the GPL-3.0 license.

What language is evorl written in?

evorl is written mainly in Python.

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