Shypd.aiThe largest open index of AI toolsRSL-RL is an open-source library for robotics research, offering a fast and simple implementation of learning algorithms. It supports GPU-accelerated training and integrates with various robot learning environments like Isaac Lab and Legged Gym.
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RSL-RL is a GPU-accelerated, lightweight learning library specifically designed for robotics research. It provides a fast and simple implementation of various learning algorithms, including PPO and Student-Teacher Distillation, making it ideal for researchers to quickly prototype and test new ideas without the complexity of larger libraries. The library supports multi-GPU training for high-throughput performance and has been proven effective in numerous research publications. RSL-RL is compatible with popular robot learning environments such as Isaac Lab, Legged Gym, mjlab, and MuJoCo Playground, and can be easily installed via PyPI. Its minimal and readable codebase also offers clear extension points for customization.
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