机译:通过深度加强学习,动态出租车路线推荐的时空特征融合
Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 611756 Peoples R China;
Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 611756 Peoples R China;
Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 611756 Peoples R China|Southwest Jiaotong Univ Natl Engn Lab Integrated Transportat Big Data App Chengdu 611756 Peoples R China;
Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 611756 Peoples R China|JDcom JD Intelligent Cities Res Beijing 100176 Peoples R China|JD Digits JD Intelligent Cities Business Unit Beijing 100176 Peoples R China;
Spatio-temporal feature fusion; Sequential decision making; Taxi route recommendation; Deep reinforcement learning; Transportation;
机译:基于深度加强基于学习的动态IOT网络的多功能路由方案
机译:好还是平庸?出租车收入效率优化的深度加固学习方法
机译:为出租车服务派遣自动车辆:深增强学习方法
机译:用于深度强化学习的多功能融合:移动机器人的顺序控制
机译:利用深增强学习认知无线电网络中的交叉层路由
机译:使用深增强学习的间交互式卡车路由优化
机译:利用会话间动态,了解会话感知建议的深度加强学习互动的长期间歇性序列
机译:学习国家特色从政策到强化学习中的偏见探索