Weblica: Scalable and Reproducible Training Environments for Visual Web Agents

This paper introduces Weblica, a framework designed to construct reproducible and scalable web environments for visual web agents. It utilizes HTTP-level caching and LLM-based environment synthesis to scale RL training across thousands of diverse environments and tasks, outperforming baselines on web navigation benchmarks.