首页> 外国专利> SYSTEM AND METHOD FOR ESTIMATING UNCERTAINTY OF THE DECISIONS MADE BY A SUPERVISED MACHINE LEARNER

SYSTEM AND METHOD FOR ESTIMATING UNCERTAINTY OF THE DECISIONS MADE BY A SUPERVISED MACHINE LEARNER

机译:估算由监督机器学习者制定的决策不确定性的系统和方法

摘要

Described is a system for controlling autonomous platform. Based on an input image, the system generates a motor control command decision for the autonomous platform. A probability of the input image belonging to a set of training images is determined, and a reliability measure for the motor control command decision is generated using the determined probability. An exploratory action is performed when the reliability measure is above a predetermined threshold. Otherwise, an exploitation action corresponding with the motor control command decision is performed when the reliability measure is below a predetermined threshold.
机译:描述是一种控制自主平台的系统。 基于输入图像,系统为自主平台生成电机控制命令决定。 确定了属于一组训练图像的输入图像的概率,并且使用所确定的概率生成电动机控制命令决定的可靠性度量。 当可靠性测量高于预定阈值时,执行探索性动作。 否则,当可靠性测量低于预定阈值时,执行与电动机控制命令判定对应的利用动作。

著录项

  • 公开/公告号EP3776125A4

    专利类型

  • 公开/公告日2021-12-15

    原文格式PDF

  • 申请/专利权人 HRL LABORATORIES LLC;

    申请/专利号EP20190777072

  • 发明设计人 KOLOURI SOHEIL;HOFFMANN HEIKO;

    申请日2019-01-30

  • 分类号G05D1;G05B15/02;G06N3/08;

  • 国家 EP

  • 入库时间 2022-08-24 22:50:30

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号