Title
A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations
Abstract
The vehicle platoon will be the most dominant driving mode on future roads. To the best of our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle platoon control, which has large-scale action and state spaces. Some RL-based methods were applied to solve single-agent problems. If we need to tackle multiagent problems, we will use multiagent RL algorithms since the pa...
Year
DOI
Venue
2021
10.1109/TNNLS.2021.3071959
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Training,Autonomous vehicles,Fuels,Heuristic algorithms,Vehicle dynamics,Roads,Protocols
Journal
32
Issue
ISSN
Citations 
12
2162-237X
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Meng Li14111.56
Zehong Cao200.68
Zhibin Li3416.93