META: A City-Wide Taxi Repositioning Framework Based on Multi-Agent Reinforcement Learning
META: A City-Wide Taxi Repositioning Framework Based on Multi-Agent Reinforcement Learning
复制标题
META：基于多智能体强化学习的全市出租车重新定位框架
DOI：
10.1109/tits.2021.3096226
复制
发表时间：
2022-08
影响因子：
8.5
通讯作者：
Chao Chen
中科院分区：
文献类型：
--
作者：
Chenxi Liu;Chao-Xiong Chen;Chao Chen
网约车平台的普及让人们的出行变得比以往任何时候都更加智能。但人们仍然时常遇到“出租车司机追捕乘客、乘客寻找空车”的困境。许多研究
The popularity of online ride-hailing platforms has made people travel smarter than ever before. But people still frequently encounter the dilemma of “taxi drivers hunt passengers and passengers search for unoccupied taxis”. Many studies