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RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

60 upvotes · 18 SEP 2026 · Shuai Bai, Jiayong Deng, Yikun Fu et al.

This paper introduces RecreationWorld, a framework for training hybrid computer-use agents that can seamlessly switch between graphical interaction and software development, and verify their outputs. Practitioners may care about the implications of this work for developing more versatile and reliable AI systems.

hybrid computer-use agentscontinual learninggraphical interactionsoftware developmentreproducible environmentsopen-source applications