Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control. (arXiv:2103.03796v2 [cs.AI] UPDATED)

Deep deterministic policy gradient (DDPG)-based car-following strategy can
break through the constraints of the differential equation model due to the
ability of exploration on complex environments. However, the car-following
performance of DDPG is usually degraded by unreasonable reward function design,
insufficient training, and low sampling efficiency. In order to solve this kind
of problem, a hybrid car-following strategy based on DDPG and cooperative
adaptive cruise control (CACC) is proposed. First, the car-following process is
modeled as the Markov decision process …

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