stable-baselines3 - Production-ready RL Algorithms
PyTorch-based RL algorithms for training agents, custom environments, callbacks, and workflow optimization
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- train RL agent
- create environment
- implement callback
- save model
- load model
- evaluate policy
Inputs
- Gymnasium environment
- algorithm parameters
- reward structure
Outputs
- trained model file
- evaluation reward
- training logs
Requirements
- Python environment
- stable-baselines3 package
- Gymnasium environment
- PyTorch