...
首页> 外文期刊>Network Daily News >New Findings from Tsinghua University Update Understanding of Networks (Personalized Route Recommendation for Ride-hailing With Deep Inverse Reinforcement Learning and Real-time Traffic Conditions)
【24h】

New Findings from Tsinghua University Update Understanding of Networks (Personalized Route Recommendation for Ride-hailing With Deep Inverse Reinforcement Learning and Real-time Traffic Conditions)

机译:New Findings from Tsinghua University Update Understanding of Networks (Personalized Route Recommendation for Ride-hailing With Deep Inverse Reinforcement Learning and Real-time Traffic Conditions)

获取原文
获取原文并翻译 | 示例

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current studyresults on Networks have been published. According to news reporting originating in Beijing, People’sRepublic of China, by NewsRx journalists, research stated, “Personalized route recommendation aimsto recommend routes based on users’ route preference.The vast amount of GPS trajectories trackingdriving behavior has made deep learning,especially inverse reinforcement learning (IRL), a popular choicefor personalized route rec-ommendation. However, current IRL studies assume that the traffic condition isstatic andapproximate the expected state visitation frequencies to update the neural network.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究已经出版。起源于北京,人民NewsRx记者,中国研究说,“个性化路线推荐的目标基于用户的路线建议路线偏好。跟踪学习,特别是逆强化学习(IRL),一个受欢迎的选择rec-ommendation路线。研究假设交通条件是探视频率更新的神经网络”。

著录项

  • 来源
    《Network Daily News 》 |2023年第1期| 53-53| 共1页
  • 作者

  • 作者单位
  • 收录信息
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类
  • 关键词

获取原文

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