[P] Stable-Baselines3 v1.0 - Reliable implementations of RL algorithms

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

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  • stable-baselines3

    PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  • https://github.com/DLR-RM/stable-baselines3/issues/18 and https://github.com/DLR-RM/stable-baselines3/issues/160

  • stable-baselines3-contrib

    Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

  • But as we already have vanilla DQN and QR-DQN (in our contrib repo: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib ) I think it is already a good start for off-policy discrete action algorithms. (QR-DQN is usually competitive vs DQN+extensions)

  • 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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  • rl-baselines3-zoo

    A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  • We also release 100+ trained models in our experimental framework, the rl zoo: https://github.com/DLR-RM/rl-baselines3-zoo

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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