×

COMPOSITE TASK EXECUTION

  • US 20190324795A1
  • Filed: 04/24/2018
  • Published: 10/24/2019
  • Est. Priority Date: 04/24/2018
  • Status: Active Application
First Claim
Patent Images

1. A system for executing composite tasks based on computational learning techniques comprising:

  • a processor to;

    detect a composite task from a user;

    detect a plurality of subtasks corresponding to the composite task based on unsupervised data without a label, wherein the plurality of subtasks are identified by a top-level dialog policy;

    detect a plurality of actions, wherein each action is to complete one of the subtasks, and wherein each action is identified by a low-level dialog policy corresponding to the subtasks identified by the top-level dialog policy;

    update a dialog manager based on a completion of each action corresponding to the subtasks, wherein the dialog manager stores an intrinsic value indicating a sub-cost to execute each action corresponding to each subtask, and an extrinsic value indicating a global cost to execute a plurality of actions that perform the composite task; and

    execute instructions based on a policy identified by the dialog manager, wherein the executed instructions implement the policy with a lowest global cost corresponding to the composite task provided by the user.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×