研究人员开发了PhoneBuddy，这是一种新颖的训练方法和模型系列，旨在增强开放AI模型与智能手机交互的能力。该方法结合了真实手机环境和名为PhoneWorld的模拟应用内环境，PhoneWorld是从真实的GUI使用数据构建的。训练过程包括监督微调和强化学习，混合方法在真实手机和AndroidWorld基准测试中的任务成功率方面显示出最显著的改进。 AI
影响 这项研究可能带来更强大的移动设备AI代理，改善用户体验并实现新的应用。
排序理由 该集群描述了一篇详细介绍用于电话使用的AI代理新训练方法的论文。
在 Hugging Face Daily Papers 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
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arXiv:2606.23049v2 Announce Type: replace Abstract: Phones are becoming an important execution surface for general-purpose agents, but training open models for reliable phone use remains difficult because the environment that matters at deployment, real devices running real apps,…
Phones are becoming an important execution surface for general-purpose agents, but training open models for reliable phone use remains difficult because the environment that matters at deployment, real devices running real apps, is slow, stateful, side-effectful, and hard to rese…
PhoneBuddy combines real and mock app environments to improve training of open models for phone use, demonstrating enhanced task success rates through mixed reinforcement learning approaches.