kdense-stable-baselines3
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.
Source facts
- Repository
- eightmm/codex-science
- Last source activity
- July 10, 2026 at 05:18
- Detected SKILL.md language
- English
- Stars
- 2
- Forks
- 0
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