{
  "id": 10839709,
  "title": "SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents",
  "url": "https://urgent.news/2026/09/29/sca-spatial-credit-assignment-for-reinforcement-learning-of-gui-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T07:51:57.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.36939v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "GUI agents automate tasks on digital devices by grounding language instructions in visual interfaces. Existing group-relative reinforcement learning improves GUI action prediction by comparing the rewards of multiple responses sampled from the same GUI state. However, binary evaluation treats spatially different failed clicks as identical and provides no relative signal when all sampled clicks…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}