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Multi-Agent Reinforcement Learning for Traffic Signal Control through
  Universal Communication Method

Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method

26 April 2022
Qize Jiang
Minhao Qin
Shengmin Shi
Weiwei Sun
B. Zheng
ArXivPDFHTML

Papers citing "Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method"

4 / 4 papers shown
Title
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
28
10
0
18 Dec 2023
Traffic Signal Control Using Lightweight Transformers: An
  Offline-to-Online RL Approach
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
Xingshuai Huang
Di Wu
Benoit Boulet
OffRL
27
2
0
12 Dec 2023
Towards Computationally Efficient Responsibility Attribution in
  Decentralized Partially Observable MDPs
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
Stelios Triantafyllou
Goran Radanović
27
5
0
24 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
42
8
0
23 Jun 2022
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