[PPO] Reward graph fluctuates a lot after certain timesteps

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

Our great sponsors
  • SonarQube - Static code analysis for 29 languages.
  • Scout APM - Less time debugging, more time building
  • SaaSHub - Software Alternatives and Reviews
  • Ray

    Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) 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

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.

Suggest a related project

Related posts