Title | ||
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A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations |
Abstract | ||
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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 Li | 1 | 41 | 11.56 |
Zehong Cao | 2 | 0 | 0.68 |
Zhibin Li | 3 | 41 | 6.93 |