Spec for RL agent implementation?

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

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  • gym

    A toolkit for developing and comparing reinforcement learning algorithms.

  • Open AI Gym is the most widely used one, but it is only a spec for environment. Nothing else. https://github.com/openai/gym

  • acme

    A library of reinforcement learning components and agents

  • Acme has a slightly different one: https://github.com/deepmind/acme which includes specs for agents, buffers etc. It is very general. You can see their component description here: https://github.com/deepmind/acme/blob/master/docs/components.md

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  • rlpyt

    Reinforcement Learning in PyTorch

  • rlpyt also has abstractions for additional things besides environments: https://github.com/astooke/rlpyt

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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