公开(公告)号：US20240330328A1

公开(公告)日：2024-10-03

申请号：US18741744

申请日：2024-06-12

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Siyuan HAO ,  Le ZHANG ,  Le DAI ,  Jingbo ZHOU ,  Shengming ZHANG ,  Chuan QIN ,  Hui XIONG

IPC: G06F16/28

CPC classification number: G06F16/288

Abstract: A method is provided. The method includes: obtaining an object relationship diagram; for a target object of a plurality of first objects, obtaining at least one meta-path corresponding to the target object in the object relationship diagram; for each meta-path, performing the following operations: determining a plurality of first attention weights of the target object based on inherent attribute data of the target object and inherent attribute data of each of a plurality of second objects on the meta-path; obtaining a second representation vector of the target object based on a first representation vector of the target object and the plurality of first attention weights; and obtaining a target indicator prediction result of the target object based at least on at least one second representation vector of the target object corresponding to the at least one meta-path.

公开(公告)号：US20240071222A1

公开(公告)日：2024-02-29

申请号：US18503538

申请日：2023-11-07

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Qian SUN ,  Le ZHANG ,  Jingbo ZHOU ,  Hui XIONG ,  Weijia ZHANG ,  Huan YU ,  Yu MEI ,  Weicen LING

IPC: G08G1/0967 ,  G06N20/00 ,  G08G1/081

CPC classification number: G08G1/096725 ,  G06N20/00 ,  G08G1/081 ,  G08G1/096766 ,  B60W60/001

Abstract: A method for controlling a traffic light, a method and apparatus for navigating an unmanned vehicle and a method and apparatus for training a model are provided. An implementation comprises: generating a reinforced traffic light state parameter according to vehicle state representation information of an unmanned vehicle currently contained in a preset area of a target traffic light and a current traffic light state parameter of the target traffic light; and generating a traffic light control action according to the reinforced traffic light state parameter; where the reinforced traffic light state parameter is used to cause an unmanned vehicle navigation end to generate a reinforced vehicle state parameter according to a reinforced traffic light state and a current vehicle state parameter of a target unmanned vehicle, and generate an unmanned vehicle navigation action according to the reinforced vehicle state parameter.

公开(公告)号：US20230229913A1

公开(公告)日：2023-07-20

申请号：US18125327

申请日：2023-03-23

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Weijia ZHANG ,  Le ZHANG ,  Hao LIU ,  Jindong HAN ,  Chuan QIN ,  Hengshu ZHU ,  Hui XIONG

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A method and apparatus for training an information adjustment model of a charging station, an electronic device, and a storage medium are provided. An implementation comprises: acquiring a battery charging request, and determining environment state information corresponding to each charging station in a charging station set; determining, through an initial policy network, target operational information of each charging station in the charging station set for the battery charging request, according to the environment state information; determining, through an initial value network, a cumulative reward expectation corresponding to the battery charging request according to the environment state information and the target operational information; training the initial policy network and the initial value network by using a deep deterministic policy gradient algorithm; and determining the trained policy network as an information adjustment model corresponding to each charging station.