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stable-baselines3

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About stable-baselines3

S

stable-baselines3

Trains and evaluates single-agent reinforcement learning with Stable Baselines3

stable-baselines3 is an agent skill for training and evaluating single-agent reinforcement learning with Stable Baselines3, a PyTorch library with reliable implementations of algorithms such as PPO, SAC, DQN, TD3, DDPG and A2C. It covers training agents, building custom Gymnasium environments, vectorised environments, callbacks and tuning training workflows through the library's unified API. The skill targets Stable Baselines3 2.9.0, released on 15 June 2026. Installation requires Python 3.10 or newer, since Python 3.9 was dropped in version 2.8.0, and PyTorch 2.8 or newer. The skill shows a basic install and an install with extras, such as TensorBoard and the Atari environment package. Use it when you want a dependable baseline for a single-agent control or game problem, or when you are writing a custom environment for one. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill stable-baselines3.

View stable-baselines3All AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/stable-baselines3