Web: http://arxiv.org/abs/2206.07536

June 16, 2022, 1:11 a.m. | Tong Liu, Lei Lei, Kan Zheng, Kuan Zhang

cs.LG updates on arXiv.org arxiv.org

Deep Reinforcement Learning (DRL) is regarded as a potential method for
car-following control and has been mostly studied to support a single following
vehicle. However, it is more challenging to learn a stable and efficient
car-following policy when there are multiple following vehicles in a platoon,
especially with unpredictable leading vehicle behavior. In this context, we
adopt an integrated DRL and Dynamic Programming (DP) approach to learn
autonomous platoon control policies, which embeds the Deep Deterministic Policy
Gradient (DDPG) algorithm …

arxiv autonomous deep learning programming reinforcement reinforcement learning

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