Shypd.aiThe largest open index of AI toolsRLinf is an open-source reinforcement learning infrastructure designed for embodied and agentic AI. It provides a flexible and scalable backbone for next-generation training, supporting open-ended learning and continuous generalization.
Trending
About
RLinf is a flexible and scalable open-source reinforcement learning (RL) infrastructure specifically designed for Embodied and Agentic AI. It acts as a robust backbone for next-generation training, supporting open-ended learning, continuous generalization, and limitless possibilities in intelligence development. The platform offers high flexibility for diverse RL training workflows, including PPO, GRPO, and SAC, while abstracting the complexities of distributed programming. Users can easily scale RL training across numerous GPU nodes without code modification. RLinf integrates with multiple backends like FSDP, HuggingFace, SGLang, vLLM, and Megatron, catering to both rapid prototyping and large-scale, efficient training. It supports a wide array of embodied AI simulators, VLA models, world models, and real-world robotics data collection, making it a comprehensive solution for advanced RL research and development.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
