stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Stable-Baselines3 provides carefully tested PyTorch implementations of the main RL algorithms — PPO, SAC, TD3 — with sane defaults.
From the README
pip install 'stable-baselines3[extra]'
- newer algorithms are regularly added to the SB3 Contrib repository
- faster variants are developed in the SBX (SB3 + Jax) repository
- the training framework for SB3, the RL Zoo, has an active roadmap
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimePyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
stable-baselines3 has 13.6k stars on GitHub. It has been forked 2.2k times. stable-baselines3 is written mainly in Python. It has been in active development since 2020. stable-baselines3 is available under the MIT license. Its main topics are baselines, gsde, gym, machine-learning.
Read the full guideWhat is stable-baselines3?
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Is stable-baselines3 open source?
stable-baselines3 is an open-source project. It is released under the MIT license.
Is stable-baselines3 free?
Yes. stable-baselines3 is free and open source — you can use, modify and self-host it.
What license does stable-baselines3 use?
stable-baselines3 is available under the MIT license.
What language is stable-baselines3 written in?
stable-baselines3 is written mainly in Python.
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