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Coordination for Connected and Automated Vehicles at Non-signalized
  Intersections: A Value Decomposition-based Multiagent Deep Reinforcement
  Learning Approach

Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach

15 November 2022
Zihan Guo
Yan Wu
Lifang Wang
Junzhi Zhang
ArXivPDFHTML

Papers citing "Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach"

2 / 2 papers shown
Title
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for
  Connected Autonomous Vehicles
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen
Jiahao Huang
Rongpeng Li
Guoru Ding
Zhifeng Zhao
29
1
0
21 Dec 2023
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
16
10
0
18 Dec 2023
1