FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control

Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and slow convergence to optimized solutions. This is because, due to the scalability restriction, most existing RL-based methods focus on the optimi...

Celý popis

Podrobná bibliografia

Vydané v:	2021 58th ACM/IEEE Design Automation Conference (DAC) s. 847 - 852
Hlavní autori:	Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Advantage Actor-Critic Collaboration Collaborative work Design automation Federated Reinforcement Learning Neural Network Process control Reinforcement learning Scalability Traffic control Traffic Signal Control
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!