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Agent World Model in the Wild: Computer-Use Agent Environment Synthesis

Agent learning is shifting from learning from human data toward learning through interaction with the world. However, scaling such learning directly in real-world computer systems is challenging and c

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#1Best rank
–Score · 24h
334Score · 7d
2Days on list
13Snapshots
Oct 22, 2026First seen

Summary

Agent World Model in the Wild: Computer-Use Agent Environment Synthesis was first seen on Hugging Face · Daily papers on Oct 22, 2026. Since then it appeared in 13 hourly checks across 2 days, peaking at #1 on Oct 22, 05:18 UTC. It was last on the list on Oct 23, 03:18 UTC.

Rank history

Position on Hugging Face · Daily papers at every check (lower is better).

#1#11#20#30 03:1809:1815:1821:1803:18 Oct 22, 03:18 UTC · #13Oct 22, 05:18 UTC · #1Oct 22, 07:18 UTC · #1Oct 22, 09:18 UTC · #3Oct 22, 11:18 UTC · #5Oct 22, 13:18 UTC · #7Oct 22, 15:18 UTC · #6Oct 22, 17:18 UTC · #6Oct 22, 19:18 UTC · #6Oct 22, 21:18 UTC · #7Oct 22, 23:18 UTC · #7Oct 23, 01:18 UTC · #6Oct 23, 03:18 UTC · #4

Last 14 days

Best rank per day (UTC).

Oct 14today

Metric history

Platform metric as reported by Hugging Face.

0214365 03:1809:1815:1821:1803:18 Oct 22, 03:18 UTC · 10Oct 22, 05:18 UTC · 48Oct 22, 07:18 UTC · 55Oct 22, 09:18 UTC · 58Oct 22, 11:18 UTC · 59Oct 22, 13:18 UTC · 60Oct 22, 15:18 UTC · 60Oct 22, 17:18 UTC · 62Oct 22, 19:18 UTC · 63Oct 22, 21:18 UTC · 64Oct 22, 23:18 UTC · 65Oct 23, 01:18 UTC · 65Oct 23, 03:18 UTC · 65

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