jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Implement and experiment with reinforcement learning algorithms for continuous action tasks using JAX.
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jaxrl has 757 stars on GitHub. It has been forked 75 times. jaxrl is written mainly in Jupyter Notebook. It has been in active development since 2021. jaxrl is available under the MIT license. Its main topics are batch-reinforcement-learning, behavioral-cloning, continuous-control, deep-deterministic-policy-gradient.
What is jaxrl?
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Is jaxrl open source?
jaxrl is an open-source project. It is released under the MIT license.
Is jaxrl free?
Yes. jaxrl is free and open source — you can use, modify and self-host it.
What license does jaxrl use?
jaxrl is available under the MIT license.
What language is jaxrl written in?
jaxrl is written mainly in Jupyter Notebook.
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