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Large-Scale Traffic Signal Control Using a Novel Multi-Agent
  Reinforcement Learning
v1v2 (latest)

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning

IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
10 August 2019
Xiaoqiang Wang
Liangjun Ke
Zhimin Qiao
Xinghua Chai
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning"

22 / 22 papers shown
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
Chao Li
Bingkun Bao
Yang Gao
118
0
0
19 Sep 2025
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
Kang Wang
Zhishu Shen
Zhen Lei
Tiehua Zhang
388
13
0
17 Apr 2024
A BDI Agent-Based Task Scheduling Framework for Cloud Computing
A BDI Agent-Based Task Scheduling Framework for Cloud Computing
Yikun Yang
F. Ren
Minjie Zhang
98
1
0
04 Jan 2024
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
346
19
0
22 Aug 2023
Comparing Reinforcement Learning and Human Learning using the Game of
  Hidden Rules
Comparing Reinforcement Learning and Human Learning using the Game of Hidden RulesIEEE Access (IEEE Access), 2023
Eric Pulick
Vladimir Menkov
Yonatan Dov Mintz
Paul B. Kantor
Vicki M. Bier
OffRL
189
2
0
30 Jun 2023
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense
  Feedback
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense FeedbackInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Junfan Lin
Yuying Zhu
Lingbo Liu
Yang Liu
Guanbin Li
Guanbin Li
206
14
0
13 Jun 2023
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement
  Learning in a Connected Driving Environment
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
R. Ammourah
Alireza Talebpour
118
0
0
06 Feb 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement
  Learning in Presence of a Non-decomposable Shared Global State
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
250
9
0
13 Jan 2023
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach
Yuli Zhang
Shangbo Wang
Ruiyuan Jiang
184
10
0
02 Jan 2023
Mean-Field Approximation of Cooperative Constrained Multi-Agent
  Reinforcement Learning (CMARL)
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
217
8
0
15 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative
  Multi-Agent Reinforcement Learning
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
219
5
0
07 Sep 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent
  Reinforcement Learning (MARL) with Non-Uniform Interaction?
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
295
9
0
28 Feb 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information
  Bottleneck in Multi-Agent Reinforcement Learning
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Leilei Gan
440
0
0
20 Dec 2021
A Reinforcement Learning-based Adaptive Control Model for Future Street
  Planning, An Algorithm and A Case Study
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study
Qiming Ye
Yuxiang Feng
Jing Han
M. Stettler
Panagiotis Angeloudis
130
2
0
10 Dec 2021
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal
  Control
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
Xingshuai Huang
Di Wu
M. Jenkin
Benoit Boulet
257
17
0
15 Nov 2021
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent
  Reinforcement Learning
Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement LearningDe Computis (DC), 2021
P. Ha
Ha
Sikai Chen
Runjia Du
Samuel Labi
159
9
0
11 Oct 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent
  Reinforcement Learning (MARL) using Mean Field Control (MFC)
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)Journal of machine learning research (JMLR), 2021
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
607
59
0
09 Sep 2021
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a
  Strong Baseline
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong BaselineIEEE Open Journal of Intelligent Transportation Systems (OJ-ITS), 2021
Hu Wang
Hao Chen
Qi Wu
Congbo Ma
Yidong Li
Chunhua Shen
211
16
0
24 Jan 2021
Optimizing Large-Scale Fleet Management on a Road Network using
  Multi-Agent Deep Reinforcement Learning with Graph Neural Network
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural NetworkInternational Conference on Intelligent Transportation Systems (ITSC), 2020
Juhyeon Kim
Kihyun Kim
GNN
286
15
0
12 Nov 2020
Multi-Agent Trust Region Policy Optimization
Multi-Agent Trust Region Policy Optimization
Hepeng Li
Haibo He
453
58
0
15 Oct 2020
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic
  Signal Control
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
François-Xavier Devailly
Denis Larocque
Laurent Charlin
AI4CE
407
92
0
06 Mar 2020
Learning an Interpretable Traffic Signal Control Policy
Learning an Interpretable Traffic Signal Control PolicyAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
James Ault
Josiah P. Hanna
Guni Sharon
109
62
0
23 Dec 2019
1
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