Stable Baselines3
k-dense-ai/scientific-agent-skillsReinforcement learning lets you train AI agents to make decisions through trial and error. This skill gives you access to Stable Baselines3, a library with ready-to-use algorithms like PPO, SAC, and DQN. You can quickly set up experiments, train agents, and save or load models.
The library works with Gymnasium environments for single-agent tasks. It supports custom environments and provides tools like callbacks and hyperparameter tuning. The API is simple and resembles scikit-learn, so you can focus on your problem instead of coding algorithms from scratch.
This skill is best for standard reinforcement learning projects and fast prototyping. For advanced needs like multi-agent systems or high-speed parallel training, the skill recommends using pufferlib instead.
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