新发布:WebsiteBench。AI 智能体能否通过浏览器探索重建网站?WebsiteBench 在 GitHub 上点 StarStar

奖励模型

已审阅并标注「奖励模型」的研究与资产。

条目依据已审阅标签归类,同一主题不表示资源之间存在依赖关系。日期保留来源精度,注释保留原语言。

评测基准

4回到顶部 ↑
基准

OS-Critic Bench

A cross-platform GUI-critic benchmark with mobile, desktop and web JSONL splits and screenshot assets, accompanied by public inference and accuracy-scoring scripts.

跨平台桌面网页
基准

WebRewardBench

An offline preference-evaluation set for web process reward models, pairing page and trajectory context with preferred and rejected candidate decisions.

网页
模型

GUI-G2 7B

A Qwen2.5-VL grounding checkpoint trained with Gaussian point and coverage rewards whose granularity adapts to interface-element scale.

跨平台

工程与产业

3回到顶部 ↑
框架

UI-Genie

Training and evaluation code for a mobile-agent framework that iteratively generates trajectories using agent and reward-model feedback.

Android
框架

VEM GUI-Agent-RL

Training code that learns a value environment model from offline Android interaction data and uses its frozen value estimates to guide GUI policy optimization.

Android

第 61–73 条,共 73 条资源。

通过主题导出清单获取完整记录和证据。克隆目录后,可将主题记录直接交给标准 RAG 与引用导出工具。