arXiv 2610.26828 · cs.AI · 2026-10-19
Agent World Model in the Wild: Computer-Use Agent Environment Synthesis
Zhaoyang Wang, Qianhui Wu, Haorui Wang, Simon Yu, Baolin Peng, Canwen Xu, Hao Cheng, Wenlin Yao 等 12 人
Microsoft Research
在最新榜 #68 本站收录于 2026-10-23
一句话要点
微软研究院的 WildAWM 用开源模型批量合成可执行的电脑操作环境与任务，同一环境同时支持图形界面、MCP 服务和命令行，用于训练通用电脑操作智能体，避免直接在真实系统上训练的安全风险。
Microsoft Research’s WildAWM synthesises executable computer-use environments and tasks with open-source models, each supporting GUI, MCP services and CLI together, to train general computer-use agents without the risks of training on real systems.
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同机构：Microsoft Research
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
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