Stable-Baselines3

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.

• 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.

 $sudo su 
$ cd /opt/stable-baselines3
$source venv/bin/activate
$python -c "import stable_baselines3; print(stable_baselines3.__version__)"