[PPO] Reward graph fluctuates a lot after certain timesteps

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

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  • Ray

    Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  • I don’t know if you’re familiar with Ray but it is great for tuning hyperparameters and training algorithms. It’s built on top of their distributed computing platform so with the right setup, you could run multiple training iterations simultaneously. Check it out: https://github.com/ray-project/ray

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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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