stable-baselines3

Guides creation of trained reinforcement-learning agents and reproducible evaluation workflows using Stable Baselines3.

When to use it

Use for single-agent reinforcement-learning experiments, continuous control, discrete actions, and recurrent or masked policies.

It changes how the agent develops reinforcement-learning projects by guiding environment validation, algorithm selection, training, monitoring, and evaluation.