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Stable-Baselines3

by bCloud LLC

(1 ratings)

Version 2.9.0 + Free Support on Ubuntu 26.04

Stable-Baselines3 is an open-source Python library for reinforcement learning research and development. It provides reliable, well-tested implementations of popular RL algorithms (built on PyTorch), utilities for training and evaluation, and easy integration with simulation environments like OpenAI Gym / Gymnasium. Stable-Baselines3 is lightweight and designed for both experimentation and production workflows.

Features of Stable-Baselines3:
  • Implementations of modern RL algorithms (PPO, A2C, DQN, SAC, TD3, etc.).
  • Built on PyTorch for flexibility and performance.
  • Easy integration with OpenAI Gym / Gymnasium environments and custom environments.
  • Well-documented API and examples for fast prototyping and research.
  • Utilities for training, evaluation, model saving/loading, and logging.
  • Lightweight (runs from CLI / scripts inside virtual environments; no web server required).
  • Extensible — easy to add custom policies, callbacks, and environments.

To check Stable-Baselines3 installation :

 $sudo su 
$ cd /opt/stable-baselines3
$source venv/bin/activate
$python -c "import stable_baselines3; print(stable_baselines3.__version__)"
Disclaimer: Stable-Baselines3 is open-source software provided under the MIT license. It is offered "as is," without any warranty, express or implied. Users are responsible for ensuring the ethical and legal use of Stable-Baselines3 in their projects.
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