公开(公告)号：US11893994B1

公开(公告)日：2024-02-06

申请号：US16712486

申请日：2019-12-12

Applicant: Amazon Technologies, Inc.

Inventor： Samuel Tucker ,  Agnika Kumar ,  Brett James Panosh

IPC: G10L15/26 ,  G06F40/30 ,  G06N20/00 ,  G06F40/42 ,  G06N3/045

CPC classification number: G10L15/26 ,  G06F40/30 ,  G06F40/42 ,  G06N20/00 ,  G06N3/045

Abstract: Devices and techniques are generally described for process optimization using reinforcement learning. In various examples, first input data is received and a first process for processing the first input data is determined. In some examples, a second process for processing the first input data is determined. A first machine learning model is used to generate a first prediction for processing the first input data by the first process. The first process and/or the second process are controlled based at least in part on the first prediction.

公开(公告)号：US11055355B1

公开(公告)日：2021-07-06

申请号：US16017032

申请日：2018-06-25

Applicant: Amazon Technologies, Inc.

Inventor： Emilio Fabio Monti ,  Anjishnu Kumar ,  David Spike Palfrey ,  Sainyam Kapoor ,  Janez Starc ,  Samuel Tucker

IPC: G06F16/9032 ,  G10L15/183 ,  G10L15/22

Abstract: A method comprising sending query data representative of a query to a first and second query-answering subsystem of a query-answering system. It is determined that the query-answering system lacks a satisfactory answer to the query. Paraphrase data representative of a rephrased version of the query is received. The paraphrase data is sent to the first and second query-answering subsystems. Answer data representative of an answer to the rephrased version of the query is received from the first query-answering subsystem.