Experiment with reinforcement learning tasks using the Meta-RL A3C algorithm in Jupyter Notebook.
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Free · no card · unsubscribe anytimeImplementation of Meta-RL A3C algorithm
Meta-RL has 407 stars on GitHub. It has been forked 108 times. Meta-RL is written mainly in Jupyter Notebook. It has been in active development since 2017. Meta-RL is available under the MIT license. Its main topics are reinforcement-learning, tensorflow.
What is Meta-RL?
Implementation of Meta-RL A3C algorithm
Is Meta-RL open source?
Meta-RL is an open-source project. It is released under the MIT license.
Is Meta-RL free?
Yes. Meta-RL is free and open source — you can use, modify and self-host it.
What license does Meta-RL use?
Meta-RL is available under the MIT license.
What language is Meta-RL written in?
Meta-RL is written mainly in Jupyter Notebook.
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