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A Bibliometric Analysis and Review on Reinforcement Learning for
  Transportation Applications

A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications

26 October 2022
Can Li
Lei Bai
L. Yao
S. Waller
Wei Liu
ArXivPDFHTML

Papers citing "A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications"

7 / 7 papers shown
Title
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic
  Signal Control
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
Maonan Wang
Xi Xiong
Yuheng Kan
Chengcheng Xu
Man-On Pun
14
9
0
08 Dec 2023
Data efficient reinforcement learning and adaptive optimal perimeter
  control of network traffic dynamics
Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics
C. Chen
Y.P. Huang
W. Lam
T. Pan
S. Hsu
A. Sumalee
R. Zhong
AI4CE
29
37
0
13 Sep 2022
Reinforcement Learning for Ridesharing: An Extended Survey
Reinforcement Learning for Ridesharing: An Extended Survey
Zhiwei Qin
Hongtu Zhu
Jieping Ye
37
83
0
03 May 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
82
147
0
06 Jan 2021
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent
  Reinforcement Learning Approach
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Kecheng Zhang
Meng Li
Zhengchao Zhang
Xi Lin
Fang He
98
139
0
13 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,630
0
02 Feb 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
207
435
0
30 Jan 2020
1