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RPO: Routing Policy Optimization in Online Diffusion Reinforcement Learning
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Routing Policy Optimization (RPO) has been introduced to enhance the training efficiency of online diffusion reinforcement learning. It incorporates random attention routing, achieving nearly 4x higher training efficiency compared to the Flow-GRPO method in tasks like text-to-image and text-to-video generation. This development is a significant advancement in the field of AI and machine learning.
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10月15日
- Hugging Face Daily PapersRouting Policy Optimization:在线扩散强化学习中的路由策略优化
Routing Policy Optimization (RPO) 引入随机注意力路由,提高在线扩散强化学习的训练效率,在文本到图像和文本到视频生成任务中,RPO 实现了比 Flow-GRPO 风格方法高近 4 倍的训练效率。
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