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.
Key Features
- Comprehensive skill evaluation and performance tracking
- Community-driven ratings and reviews
- Easy integration with Claude Code
- Regular updates and maintenance
Quick Start
TopRank Skills install K-Dense-AI/stable-baselines3
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Skill Details
GitHub Stars
8.6k
GitHub Forks
1k
Created
Jan 2026
Last Updated
il y a 4 mois
tools
tools llm ai
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