DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
This is a tool for machine learning researchers and practitioners working with Reinforcement Learning (RL). It provides reliable, tested implementations of various RL algorithms. You input a defined environment and an RL algorithm, and it outputs a trained agent that can learn to make decisions within that environment.
12,878 stars. Used by 12 other packages. Actively maintained with 2 commits in the last 30 days. Available on PyPI.
Use this if you are a researcher or advanced practitioner who needs robust, benchmarked reinforcement learning algorithms to develop and test new ideas or compare against existing approaches.
Not ideal if you are new to Reinforcement Learning and lack fundamental knowledge, as this library assumes prior understanding.
Stars
12,878
Forks
2,081
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2026
Commits (30d)
2
Dependencies
6
Reverse dependents
12
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