Apple ML Research
· Cloud & Big Tech
Weblica: Scalable and Reproducible Training Environments for Visual Web Agents
The web is complex, open-ended, and constantly changing, making it challenging to scale training data for visual web agents. Existing data collection attempts remain limited to offline trajectories for supervised fine-tuning or a handful of simulated environments for RL training, thus failing to capture web diversity.