English(EN) Where to Learn and How Far to Roll Out: Efficient Adaptive Training for GUI Agents

新框架将GUI代理训练效率提升60%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-31 04:00

研究人员开发了一种新颖的两阶段自适应训练框架，旨在提高GUI代理训练的效率。该方法通过专注于改进不确定的中间决策并逐步扩展策略责任，解决了重复回放完整轨迹的低效问题。通过构建可重用的检查点和选择信息量大的枢轴点，该框架显著减少了环境交互，同时提高了在基准环境中的任务性能。 AI

影响这项研究可能导致能够与图形用户界面交互的AI代理的更高效开发，从而加速其在各种应用中的采用。

排序理由关于训练AI代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Yuxiang Chai, Quyu Kong, Panrong Tong, Steven Hoi, Yue Wang · 2026-10-31 04:00

GUI智能体的高效自适应训练：在哪里学习以及如何推广

arXiv:2610.39251v1 Announce Type: new Abstract: Trajectory-level GRPO is a common approach for training multi-step GUI agents, but repeatedly rolling out complete trajectories from the task root can be inefficient: task-level rewards provide coarse supervision over which intermed…