[P] Reinforcement learning evolutionary hyperparameter optimization - 10x speed up

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • AgileRL

    Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

  • GitHub: https://github.com/AgileRL/AgileRL

  • gym

    A toolkit for developing and comparing reinforcement learning algorithms.

  • how would this interact/compare with https://github.com/openai/gym?

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • stable-baselines3

    PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  • Great project! One question though, is there any reason why you are not using existing RL models instead of creating your own, such as stable baselines?

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