研究论文

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

Wenqing Li, Shaoquan Ni

Southwest Jiaotong University

来源Transportation Research Part B Methodological

年份2022

DOI10.1016/j.trb.2022.02.006

原文https://doi.org/10.1016/j.trb.2022.02.006

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Railway Systems and Energy Efficiency

Railway Engineering and Dynamics · Transport and Economic Policies

参考文献 38

Reinforcement Learning: An Introduction

Jeffrey D. Johnson, Jinghong Li, Zengshi Chen · Neurocomputing · 2000

被引 8,698

A fast heuristic for the train scheduling problem

Xiaoqiang Cai, C.J. Goh · Computers & Operations Research · 1994

被引 166

A Lagrangian heuristic algorithm for a real-world train timetabling problem

Alberto Caprara, Michele Monaci, Paolo Toth · Discrete Applied Mathematics · 2005

被引 228

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引用本文 81

Machine Learning in Urban Rail Transit Systems: A Survey

Li Zhu, Cheng Chen, Hongwei Wang · IEEE Transactions on Intelligent Transportation Systems · 2023

被引 59

Cooperative train control during the power supply shortage in metro system: A multi-agent reinforcement learning approach

Xuekai Wang, Andrea D’Ariano, Shuai Su · Transportation Research Part B Methodological · 2023