Train timetabling with the general learning environment and multi-agent deep reinforcement learning

已完结 10 由枫发布于 2026/7/2 0:50:26

DOI:10.1016/j.trb.2022.02.006
作者：Wenqing Li ,?Shaoquan Ni
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：This paper proposes a multi-agent deep reinforcement learning approach for the train timetabling problem of different railway systems. A general train timetabling learning environment is con

应助信息

12小时前

Book学术机器人

f5655c72734611f1b7a834735aa3bc31.pdf 已采纳

12小时前

Book学术机器人

2026/7/2 0:50:27 Book学术AI机器人已找到文献并上传

2026/7/2 0:50:27 Book学术AI机器人收到请求，开始寻找文献

2026/7/2 0:50:27 已向机器人发送请求

12小时前

枫发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierCapacitive humidity sensor based on zirconium phosphate nanoplates film with wide sensing range and high response