{
  "id": 1216,
  "url": "https://arxiv.org/abs/2606.20658v1",
  "title": "Expected Free Energy-based Planning as Variational Inference",
  "summary": "Planning under uncertainty requires agents to balance goal achievement with information gathering. Active inference addresses this through the Expected Free Energy (EFE), a cost function that unifies instrumental and epistemic objectives. However, existing EFE-based methods typically employ specialized optimization procedures that are difficult to extend or analyze. In this paper, we show that EFE-based planning can be formulated as Variational Free Energy minimization on a generative model augm",
  "authors": "Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-09T08:09:48.000Z",
  "fetched_at": "2026-07-14T14:15:07.843Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1216",
  "original_url": "https://arxiv.org/abs/2606.20658v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}