{
  "$type": "site.standard.document",
  "description": "Techniques for implementing a machine learned model to determine variable step sizes for searching a decision tree are described herein. For example, the techniques may include a computing device implementing a tree search algorithm to search the decision tree comprising nodes representing…",
  "path": "/patents/1364187",
  "publishedAt": "2024-05-30T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/00274",
    "Zoox, Inc."
  ],
  "textContent": "Techniques for implementing a machine learned model to determine variable step sizes for searching a decision tree are described herein. For example, the techniques may include a computing device implementing a tree search algorithm to search the decision tree comprising nodes representing different possible object actions and/or vehicle actions at a future time. A search of the decision tree can be performed using multiple steps associated with different time periods to output a vehicle trajectory for the vehicle. The vehicle trajectory can be sent to a vehicle computing device for consideration during vehicle planning, which may include simulation.",
  "title": "PREDICTION MODEL WITH VARIABLE TIME STEPS"
}