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RLinf

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This project does not currently meet the main index requirement of two current dimensions across two source types.

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MomentumCurrent · 2026-09-10
80
AttentionCurrent · 2026-09-10
22
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-10 · stale after 2 days

About

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for next-generation training. It also stands for Infinite, symbolizing the system’s support for open-ended learning, continuous generalization, and limitless possibilities in intelligence development.

RLinf has high flexibility to support diverse RL training workflows (PPO, GRPO, SAC and so on), while hiding the complexity of distributed programming. Users can easily scale RL training to a large number of GPU nodes without…

Across sources

5.0k Stars
  • Stars 5.0k
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