{
  "id": 11077220,
  "title": "T-Router: Learning Thalamic Routing for Reasoning with Parameter-Efficient Reinforcement Learning",
  "url": "https://urgent.news/2026/09/30/t-router-learning-thalamic-routing-for-reasoning-with-parameter",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-30T06:48:06.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.39109v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Parameter-efficient reinforcement learning aims to improve reasoning with a compact trainable interface to a pretrained model. We introduce the Thalamic Router (T-Router), which concentrates adaptation on the reuse of completed computations. A compressed, addressable bank preserves block changes; a depth-recurrent controller conditions their selection and relative-scale writeback. This coupling…",
  "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."
}