{
  "$type": "site.standard.document",
  "description": "A computing system can be programmed to determine a vehicle action based on vehicle sensor data input to a deep neural network (DNN) trained using an inverse reinforcement learning (IRL) system that includes a variational auto-encoder (VAE). The computing system can be further programmed to operate…",
  "path": "/patents/1261270",
  "publishedAt": "2020-05-07T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G05D1/0221",
    "Ford Global Technologies, LLC"
  ],
  "textContent": "A computing system can be programmed to determine a vehicle action based on vehicle sensor data input to a deep neural network (DNN) trained using an inverse reinforcement learning (IRL) system that includes a variational auto-encoder (VAE). The computing system can be further programmed to operate a vehicle based on the vehicle action.",
  "title": "VEHICLE LANGUAGE PROCESSING"
}