GUI web agents require realistic and interactive environments that remain stable during both evaluation and training. Live website evaluation suffers from changing content, access restrictions, and li
WebHarbor provides 153 executable, dockerized web environments for stable evaluation and reinforcement learning training of GUI agents, enabling strong generalization across multi-step and post-authentication tasks.
GUI web agents require realistic and interactive environments that remain stable during both evaluation and training. Live website evaluation suffers from changing content, access restrictions, and limited coverage of authenticated workflows, while existing synthetic environments for training often lack functional depth and visual fidelity. We propose WebHarbor, a suite of 153 executable and dockerized website environments that faithfully reconstruct the visual interfaces, content, and functional workflows of real-world web services under deterministic control. We build WebHarbor through task-driven human-agent collaboration, where environments evolve as new tasks expand their functional…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
WebHarbor: Docking Real Websites for Evolving GUI Agent Environments was first seen on Hugging Face · Daily papers on Nov 4, 2026. Since then it has appeared in 13 checks on 2 different days. Its best position was #10 of 30, reached on Nov 5, 07:28 UTC. It dropped off the list after Nov 5, 07:28 UTC.
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Not at the moment. It was last on the list on Nov 5, 07:28 UTC, after 2 days of trending.
#10 on Hugging Face · Daily papers, on Nov 5, 07:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 4, 2026 and has been on the list on 2 days (13 checks) since.