Preprint
Aug 2026
Training Needs Trustworthy Worlds: Verified Synthetic Web Environments for Agent Learning
These results show that verified synthetic environments can serve as a scalable and reliable training substrate for compact web agents, shifting synthetic webagent learning from surface-level plausibility toward executable, state-grounded supervision.
Cheng-Hao Zhang, Yu-Xiang Cheng, Sai-Sai Hu et al.
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