The authors built RecreationWorld, a unified harness in which agents can operate graphical interfaces, write and run code, and visually inspect their outputs.
Hybrid agents learn to recreate software across five computing platforms
RecreationWorld combines GUI control, coding tools, and reference-grounded tests to train and evaluate agents that inspect, implement, and verify applications.
Chinese Tech
Shuai Bai · Jiayong Deng · Yikun Fu · Chang Gao · Xuhao Hu · Mianqiu Huang · +26 more
Alibaba Token Hub · Alibaba Group
Research Digest··2 min read
The authors introduce reproducible environments for hybrid computer-use agents on Ubuntu, macOS, Windows, Android, and the Web.
Why this paper
From Alibaba Token Hub and Alibaba Group · Part of Cross-Device Agent Benchmarks, now 3 papers
In one line
Training hybrid agents on RecreationWorld trajectories improves performance on out-of-distribution coding and hybrid benchmarks.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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