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.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill stable-baselines3npx skills add K-Dense-AI/scientific-agent-skills --skill stable-baselines3 -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill stable-baselines3 -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path scientific-skills/stable-baselines3gh skill install K-Dense-AI/scientific-agent-skills stable-baselines3git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/stable-baselines3 ~/.claude/skills/stable-baselines3 # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/scientific-skills/stable-baselines3 ~/.agents/skills/stable-baselines3 # Codex, Cursor, Gemini CLI, Copilot, OpenCode