Skip to content
English

Switch theme

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 and 4 more

Microsoft Research

In latest · #68 Added on 2026-10-23

One-line takeaway

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.

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。

101HF upvotes
77GitHub stars
0Citations (Semantic Scholar)
62.8Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)