A minimal RL library for infinite horizon tasks

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

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  • rl8

    A high throughput, end-to-end RL library for infinite horizon tasks.

  • Most of my personal projects revolve around infinite horizon tasks (e.g., algotrading, recommendation systems, etc.), so I developed a minimal RL library with just the features I care about to help with developing policies for these tasks. Of course, there are many RL libraries out there, but I like to think this one might fill a niche that others may also find helpful. You can find it on GitHub: https://github.com/theOGognf/rlstack

  • sample-factory

    High throughput synchronous and asynchronous reinforcement learning

  • I take a lot of inspiration from Sample Factory and RLlib for my own RL library's implementation. Although I thoroughly enjoy both of these libraries, they just didn't quite fit right with my use case which motivated me to start my own. Hopefully someone finds use in rlstack whether it be through direct usage or as inspiration for their own personalized library

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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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