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stable-baselines3

k-dense-ai/scie…t-skills

Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium custom environments, vectorized rollouts, callbacks, and checkpoint normalization. Applies to reproducible RL experiments, continuous control, discrete actions, and SB3-Contrib recurrent or masked policies.

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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill stable-baselines3

SKILL.md

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.

Installation

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

# 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"

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