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davidanthonyndavidanthonyn/claude-skills/stable-baselines3/SKILL.md

stable-baselines3

Skill0 starsChanged 3 months agoNo licenceView on GitHub

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.

  • Installs packages

9 other projects use a version of this, 9 of them edited.

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The file

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We split this skill into the rules it gives an agent

14 rules. 5 are common, 0 are distinctive, and 9 are very specific to this project.

  • 5

    Common

    Most of the 9 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 9

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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