stable-baselines3
shushuzn/RairosProduction-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick…
Scores out of 100 · grade B+
2026-08-21Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score92/100
- no commits in the last 12 weeks
Adopted
20% of the score10/100
- 4 stars on the source repo.
Documented
15% of the score100/100
- 979 words with worked examples.
- Ships 7 bundled files.
Install
npx skills add shushuzn/Rairos/stable-baselines3What it says 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.
Also in shushuzn/Rairos
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| bioservicesshushuzn/Rairos | clean | Skill | 4 stars | 11 days ago | |
| deepchemshushuzn/Rairos | clean | Skill | 4 stars | 11 days ago | |
| diffdockshushuzn/Rairos | clean | Skill | 4 stars | 11 days ago | |
| etetoolkitshushuzn/Rairos | clean | Skill | 4 stars | 11 days ago | |
| exploratory-data-analysisshushuzn/Rairos | clean | Skill | 4 stars | 11 days ago | |
| ggetshushuzn/Rairos | clean | Skill | 4 stars | 11 days ago |
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