Evolutionary hyperparameter optimization for RL - 10x speed up

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

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  • AgileRL

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

  • RLeXplore

    RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

  • Definitely up for giving it a go - I recently put together an SB3 callback that integrates with the Rlexplore baselines https://github.com/yuanmingqi/rl-exploration-baselines/issues/3 so have a bit of experience with this sort of thing.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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