---
title: "Stable Baselines3 - Air Market"
description: "You want to train a reinforcement learning agent and would rather use well-documented implementations than write the algorithms yourself. These are production-ready ones behind a scikit-learn-like in…"
canonical: "https://airmarket.ai/app/stable-baselines3"
---

[Air Market](/) / [Data & Analytics](/category/data) / Stable Baselines3

Skill by [K-Dense](/@k-dense-ai)

# Stable Baselines3

Get a reinforcement learning agent training today

## What this does

You want to train a reinforcement learning agent and would rather use well-documented implementations than write the algorithms yourself. These are production-ready ones behind a scikit-learn-like interface, suited to single-agent work in Gymnasium environments and to trying an idea out fast.

### Top 3 things it does for you

- Train an agent with PPO, SAC, DQN, TD3, DDPG or A2C
- Prototype an RL idea quickly
- Run a single-agent experiment in a Gymnasium environment

## Information

**Stable Baselines3 at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [K-Dense](/@k-dense-ai) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.1 |
| Size | 87 KB |
| Licence | MIT |
| Repository | [k-dense-ai/scientific-agent-skills](https://github.com/k-dense-ai/scientific-agent-skills/tree/93124850ef08487e423165554c54f0b333d5631d/skills/stable-baselines3) |
| GitHub stars | 34,239 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of Stable Baselines3 and flagged nothing. AIR's verdict: **safe**.

**What Stable Baselines3's check was run against**

|  |  |
| --- | --- |
| Commit | 93124850ef08487e423165554c54f0b333d5631d |
| Content hash | 32aca432785a5916854bf0e7465df349bff66b3bfc3e341b857fbbd67055dfa8 |
| Files read | [Browse the files at this exact commit](https://github.com/k-dense-ai/scientific-agent-skills/blob/93124850ef08487e423165554c54f0b333d5631d/skills/stable-baselines3/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for Stable Baselines3](/security/stable-baselines3)

## About Stable Baselines3

Production-ready reinforcement learning algorithms - PPO, SAC, DQN, TD3, DDPG and A2C - behind a scikit-learn-like API. Use them for standard RL experiments, quick prototyping, and well-documented algorithm implementations.

They fit single-agent RL with Gymnasium environments best. For high-performance parallel training, multi-agent systems, or custom vectorized environments, the pointer is to pufferlib.

## What's inside

- SKILL.md - instructions
- references/algorithms.md - reference
- references/callbacks.md - reference
- references/custom_environments.md - reference
- references/vectorized_envs.md - reference
- scripts/custom_env_template.py - script
- scripts/evaluate_agent.py - script
- scripts/train_rl_agent.py - script

## Questions

### Is Stable Baselines3 safe to install?

AIR scanned this exact version of Stable Baselines3 and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 93124850ef08, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/stable-baselines3.

### How do I install Stable Baselines3?

Open https://airmarket.ai/app/stable-baselines3 on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/k-dense-ai/scientific-agent-skills/tree/93124850ef08487e423165554c54f0b333d5631d/skills/stable-baselines3. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by K-Dense](/@k-dense-ai)

---

Canonical URL: <https://airmarket.ai/app/stable-baselines3>