307 citations · 423 across the 13 of their papers we have counts for
4 papers · 1 filter
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
Yao Zhang, Zhiwen Yu, Jun Zhang +4
This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffi…
Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks
Xiucheng Wang, Nan Cheng, Longfei Ma +3
Deep Reinforcement Learning (DRL) is widely used to optimize the performance of multi-UAV networks. However, the training of DRL relies on the frequent interactions between the UAV…
Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling
Xiucheng Wang, Longfei Ma, Haocheng Li +3
Task scheduling is a critical problem when one user offloads multiple different tasks to the edge server. When a user has multiple tasks to offload and only one task can be transmi…
See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS
Xun Zhou, Changle Li, Zhe Liu +4
The Intelligent Transportation System (ITS) targets to a coordinated traffic system by applying the advanced wireless communication technologies for road traffic scheduling. Toward…