Patent ID: 11971884
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A non-transitory computer-readable medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:
receiving a history of user actions that includes a search query provided by a user;
using a reinforcement learning model to generate, based at least in part on the history of user actions, a probability distribution corresponding to a plurality of possible next agent actions that can be taken in response to a user action, each of the possible next agent actions associated with a corresponding auxiliary reward and a corresponding probability in the probability distribution;
selecting a particular one of the possible next agent actions, the selected particular next agent action having an associated probability that is greater than all other probabilities in the probability distribution, wherein the selected particular next agent action is associated with an additional information provision user task;
transmitting a message to a user device, for displaying on the user device, the message based at least in part on the selected particular next agent action;
receiving a user response to the message;
incrementing a cumulative reward based on the auxiliary reward associated with the selected particular next agent action; and
refining the search query based at least in part on the user response to the message.