{
  "annotation_id": "5db70fb8-d66e-4a47-be14-02859f055224",
  "date_created": "2026-02-17T05:53:20.218000Z",
  "date_modified": "2026-02-17T05:53:20.218000Z",
  "file_hash": "76664881b807578b2d453a400831d63023c73636afedfe422c33f61f67afec73",
  "private": false,
  "record": {
    "abstract": "We propose a variational formulation of an inverse problem in continuous-time stochastic control, aimed at identifying control costs consistent with a given distribution over trajectories. The formulation is based on minimizing the suboptimality gap of observed behavior. We establish a connection between the inverse problem and a generalized dynamic Schr\\\"odinger problem, showing that their optimal values coincide. This result links inverse stochastic control with stochastic optimal transport, offering a new conceptual viewpoint on inverse inference in controlled diffusions.",
    "arxiv_id": "2601.09210",
    "authors": [
      "Yumiharu Nakano"
    ],
    "categories": [
      "math.OC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "On the Identification of Latent Objectives in Stochastic Control",
    "url": "https://arxiv.org/abs/2601.09210",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "4acb2655-18d1-4623-b114-bf6c7896606b",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}