Stable Baselines3

What it does

Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.

Every change is a new, permanent version with its own fingerprint. An agent keeps the version it received until it chooses to update.

1. v1.0.0 MAJOR Current 2026-10-11

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