新闻
RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- RecreationWorld is a framework for training AI agents to autonomously use graphical interfaces and write code across five platforms by reverse-engineering running applications.
- 为何重要
- Relevant for engineers building autonomous agents that must combine GUI interaction with software development in realistic, multi-platform workflows.
- 注意
- GPT-6 Astra achieves 58.1% overall but passes all programmatic tests on only 2.8% of tasks, indicating agents struggle with complex interactions and computed outputs.
- agent
- phi
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