VideoResearchAgent: Grounded Task Synthesis and Sim-to-Real RL for Open-Web Video Research

Excerpt

arXiv:2610.04911v1 Announce Type: new Abstract: Existing deep research agents are designed primarily for text- and image-based web sources, while video reasoning systems typically assume that relevant videos are provided in advance. We study open-web video research, where an agent must autonomously discover relevant videos, navigate their temporal content, and ground answers in visual evidence. Training such agents at scale is challenging as live video interaction is slow and unreliable, whereas