机译:多领导多追随者移动众包的自由市场:深增强学习的激励机制设计
Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China;
Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China;
Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China;
Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China;
Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA;
Sensors; Games; Task analysis; Mobile computing; Pricing; Reinforcement learning; Crowdsensing; Incentive mechanism; multi-leader multi-follower mobile crowdsensing; stackelberg equilibrium; deep reinforcement learning;
机译:基于多领导的多追随者游戏分析,用于社会感知移动群体的激励机制
机译:深度加固学习车辆众包的社会意识到激励机制
机译:众包自由市场:移动传感激励机制设计
机译:无人机辅助移动人群的轨迹设计:深增强学习方法
机译:在移动人群感知系统中具有适当激励的可扩展的隐私保护参与者选择
机译:移动人群感知的本地信息激励机制设计
机译:自由市场:移动传感的激励机制设计