Stable-Baselines-Team/stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
This project provides experimental reinforcement learning (RL) algorithms and tools for tasks like training agents to play games, control robots, or optimize complex systems. It takes in environment observations and outputs optimized decision-making policies. This is for machine learning researchers and practitioners who want to explore cutting-edge RL techniques.
693 stars. Actively maintained with 5 commits in the last 30 days.
Use this if you are a machine learning researcher or practitioner looking to experiment with the latest, less-matured reinforcement learning algorithms.
Not ideal if you need production-ready, extensively tested RL implementations for critical applications, as these algorithms are experimental.
Stars
693
Forks
232
Language
Python
License
MIT
Category
Last pushed
Feb 06, 2026
Commits (30d)
5
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