DAPO: An Open-Source RL System from ByteDance Seed and Tsinghua Air
ByteDance’s research unit Seed and Tsinghua University’s Air lab have launched DAPO, an open‑source reinforcement‑learning framework. The system offers a modular architecture, implementations of common RL algorithms and tools for training and evaluation. DAPO is intended to lower barriers for researchers and developers, encouraging broader experimentation and adoption of reinforcement‑learning techniques across academia and industry.