{
  "$type": "site.standard.document",
  "description": "The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating…",
  "path": "/patents/1273188",
  "publishedAt": "2020-10-01T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W30/14",
    "Ford Global Technologies, LLC"
  ],
  "textContent": "The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.",
  "title": "INTERPRETING DATA OF REINFORCEMENT LEARNING AGENT CONTROLLER"
}