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Skills · SkillData & AIAgents & MCPMachine learningReviewed

stable-baselines3

Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium environments and callbacks.

View on GitHub
Kind
Skill
Works with
Claude Code, Codex, Cursor, Gemini / Antigravity
Source
Scientific Agent Skills (K-Dense) @ 5f2bc0341354
Path
skills/stable-baselines3/SKILL.md
Jobs
Implementation
Topics
Agents & MCP, Machine learning

Credit

Made by
K-Dense-AI
Original
github.com/K-Dense-AI/scientific-agent-skills/blob/5f2bc03413…
License
MIT

Listed by Skill Manifest; not made by us.

InstallInstall it by hand, following the source.
gh skill install K-Dense-AI/scientific-agent-skills stable-baselines3
Install factsScanned 2 Nov 2026
Adds
  • .claude/skills/stable-baselines3/ (the skill folder)
  • 7 file(s) the skill refers to
Runs scripts
Yes
  • allowed-tools includes Bash
  • shell block in the text
Uses the network
Yes
  • downloads Python packages
Needs secrets
None found
Source revision
5f2bc0341354
Licence
MIT
Last activity
26 Oct 2026
Review
Reviewed

Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.

  • Only the main file is read; other files in the folder are not scanned
# Stable Baselines3

## Overview

Stable Baselines3 (SB3) is a PyTorch-based library providing reliable implementations of reinforcement learning algorithms. This skill provides comprehensive guidance for training RL agents, creating custom environments, implementing callbacks, and optimizing training workflows using SB3's unified API.

**Current upstream:** SB3 **2.9.0** (June 15, 2026). Docs: [stable-baselines3.readthedocs.io](https://stable-baselines3.readthedocs.io/en/v2.9.0/).

## Installation

Tested against **stable-baselines3 2.9.0**. Requires **Python 3.10+** (3.9 dropped in 2.8.0) and **PyTorch >= 2.8**.

```bash
# Basic installation
uv pip install "stable-baselines3==2.9.0"

# With extra dependencies (TensorBoard, ale-py for Atari, etc.)
uv pip install "stable-baselines3[extra]==2.9.0"
```

The 2.9.0 release supports Gymnasium >=0.29.1,<2.0; this review exercised
Gymnasium 1.3.0, PyTorch 2.14.1 and Python 3.13 on CPU. pandas/matplotlib
are now optional extras. Installation requires network unless packages are cached;
local RL training needs no credentials or service endpoints.

On zsh, quote brackets: `uv pip install 'stable-baselines3[extra]==2.9.0'`.
…