Files
agent/papers/items/2026-2606-19930-mobileforge-annotation-free-adaptation-for-mobile-gui-agents-with-hierarchical-f.md
2026-07-08 12:25:30 +08:00

61 lines
1.5 KiB
Markdown

# Paper: MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization
---
type: paper
title: "MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization"
authors: Guangyi Liu, Pengxiang Zhao, Gao Wu, Yiwen Yin, Mading Li, Liang Liu, Congxiao Liu, Zhang Qi, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.19930
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-18
updated_at: 2026-06-18
status: queued
relevance: high
topics:
- agent-evaluation
- computer-use
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.HC
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 14
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: agent-evaluation, computer-use, tool-use
- arXiv categories: cs.HC
- collection score: 14
## 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/2606.19930