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Intelligent Traffic Light Control Using Distributed Multi-agent Q
  Learning

Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning

29 November 2017
Yating Liu
Lei Liu
Wei-Peng Chen
ArXiv (abs)PDFHTML

Papers citing "Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning"

11 / 11 papers shown
Title
Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies
Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies
Saahil Mahato
33
0
0
20 May 2025
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
Mingyuan Li
Jiahao Wang
Bo Du
Jun Shen
Qiang Wu
121
1
0
28 Jan 2025
Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent
  Coordination Method
Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method
Wanyuan Wang
Tianchi Qiao
Jinming Ma
Jiahui Jin
Zhibin Li
Weiwei Wu
Yichuan Jiang
35
3
0
15 Jun 2023
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Xiao-Yang Liu
Ming Zhu
S. Borst
A. Elwalid
142
10
0
04 Feb 2023
The Real Deal: A Review of Challenges and Opportunities in Moving
  Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen
Fei Fang
Norman M. Sadeh
85
9
0
23 Jun 2022
Directionality Reinforcement Learning to Operate Multi-Agent System
  without Communication
Directionality Reinforcement Learning to Operate Multi-Agent System without Communication
Fumito Uwano
K. Takadama
43
0
0
12 Oct 2021
Reinforcement Learning for Traffic Signal Control: Comparison with
  Commercial Systems
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Alvaro Cabrejas Egea
Raymond Zhang
N. Walton
74
11
0
21 Apr 2021
A Methodology for the Development of RL-Based Adaptive Traffic Signal
  Controllers
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
G. Varela
Pedro P. Santos
Alberto Sardinha
Francisco S. Melo
31
2
0
24 Jan 2021
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal
  Urban Traffic Control under Real-World limitations
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
Alvaro Cabrejas Egea
C. Connaughton
34
5
0
17 Oct 2020
Compositionality of Linearly Solvable Optimal Control in Networked
  Multi-Agent Systems
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems
Lin Song
Neng Wan
Aditya Gahlawat
N. Hovakimyan
Evangelos A. Theodorou
24
3
0
28 Sep 2020
Integrating independent and centralized multi-agent reinforcement
  learning for traffic signal network optimization
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Zhi Zhang
Jiachen Yang
H. Zha
54
43
0
23 Sep 2019
1