AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO

Jiazi Bu; Pengyang Ling; Yujie Zhou; Yibin Wang; Yuhang Zang; Tianyi Wei; Xiaohang Zhan; Jiaqi Wang; Tong Wu; Xingang Pan; Dahua Lin

arXiv · 2606.06828

AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO

Jiazi Bu·Pengyang Ling·Yujie Zhou·Yibin Wang·Yuhang Zang·Tianyi Wei·Xiaohang Zhan·Jiaqi Wang·Tong Wu·Xingang Pan·Dahua Lin

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Abstract

Group Relative Policy Optimization (GRPO) has demonstrated remarkable success in aligning text-to-image (T2I) flow models with human preferences. However, we have identified that the learning loop of current flow-based GRPO is fundamentally decoupled from the learner's current capability, suffering from critical blind spots at both prompt selection and advantage estimation: (i) Existing methods sample prompts randomly, overlooking the substantial impact of data selection on reinforcement learning (RL) efficacy--a factor proven crucial in GRPO for large language models; (ii) They evaluate sample quality solely relying on intra-group statistics, lacking a global perspective to accurately measure true policy improvement. To address these issues, we propose Adaptive GRPO (AdaGRPO), a novel capability-aware RL algorithm tailored for flow models. Specifically, AdaGRPO consists of two principal components: (i) Online Curriculum Filtering Strategy: Dynamically tracks the model's proficiency and adaptively selects prompts that best match its current learning boundary; (ii) Cross-Level Advantage Fusion: Synergistically integrates fine-grained intra-group advantages with macro-level global advantages, providing a comprehensive and unbiased policy evaluation. As a lightweight, plug-and-play module, AdaGRPO can be seamlessly integrated with existing frameworks such as Flow-GRPO, DanceGRPO, and Flow-CPS. Extensive experiments demonstrate that AdaGRPO consistently drives performance gains while significantly stabilizes GRPO training for flow models.

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BibTeX RIS

Jiazi Bu, Pengyang Ling, Yujie Zhou, Yibin Wang, Yuhang Zang, Tianyi Wei, Xiaohang Zhan, Jiaqi Wang, Tong Wu, Xingang Pan, Dahua Lin. 2026-06-05. AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO. https://arxiv.org/abs/2606.06828

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