agent/papers/items/2026-2607-11185-scalecua-scaling-computer-use-agents-with-verifiable-task-synthesis-and-efficien.md

Paper: SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL

---

type: paper title: "SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL" authors: Bowen Lv, Xiao Liu, Yanyu Ren, Hanyu Lai, Bohao Jing, Hanchen Zhang, Yanxiao Zhao, Shuntian Yao, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.11185 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-13 updated_at: 2026-07-13 status: queued relevance: high topics:

• computer-use
• multi-agent
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: web-gui-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: web-gui-agent
• inferred topics: computer-use, multi-agent, tool-use, workflow-agent
• arXiv categories: cs.AI
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.11185