Towards creating better reward functions in a custom environment| Sensitivity analysis [Question]

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

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  • rliable

    [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  • First off, "performance" is highly speculative. So make sure you nail down what you mean and ensure reliability of those measurements. Check out https://github.com/google-research/rliable.

  • bsuite

    bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

  • Second, if you're interested in evaluating the robustness of the algo implementation, then projects like https://github.com/deepmind/bsuite might help highlight issues, although they may not be relevent to your problem.

  • 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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