AI RESEARCH
CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents
arXiv CS.AI
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ArXi:2605.25624v1 Announce Type: new Reinforcement learning with verifiable rewards (RLVR) has driven breakthroughs in domains such as math, tool-use, and software engineering, yet its extension to computer-use agents (CUAs) has been bottlenecked by the scarcity of scalable