{
  "id": 14420,
  "url": "https://arxiv.org/abs/2607.26005v1",
  "title": "Pictura: Perspective-View Self-Play at Scale for Driving",
  "summary": "Self-play in simulation produces robust driving policies at scale. Demonstrations of such behavior have been made using privileged vectorized observations such as exact poses and velocities, even for occluded agents. This assumes that perception is solved and introduces a representation gap with the partial observation of a deployed agent driving from the perspective view of egocentric cameras. A common fix, distilling the privileged policy into a camera-input student, leaves the student imitati",
  "authors": "Yuan Yin, Elias Ramzi, Marc Lafon, Valentin Charraut, Victor Bares, Yihong Xu, Éloi Zablocki, Alexandre Boulch, Thibault Buhet, Andrei Bursuc, Matthieu Cord",
  "category": "research",
  "topics": "regulation,children-education,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-28T17:20:39.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14420",
  "original_url": "https://arxiv.org/abs/2607.26005v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}