Improved deep reinforcement learning for car-following decision-making

Accuracy improvement of Car-following (CF) model has attracted much attention in recent years. Although a few studies incorporate deep reinforcement learning (DRL) to describe CF behaviors, proper design of reward function is still an intractable problem. This study improves the deep deterministic p...

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Vydané v:	Physica A Ročník 624; s. 128912
Hlavní autori:	Yang, Xiaoxue, Zou, Yajie, Zhang, Hao, Qu, Xiaobo, Chen, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.08.2023
Predmet:	Auto encoders Behavioral research Car-following model Car-following modeling De-noising Decision making Deep reinforcement learning Deterministics Driving behavior imitation Driving behaviour Learning systems Policy gradient Recurrent neural networks Reinforcement learning Reinforcement learnings Stacked denoising autoencoder Stacked denoising autoencoders Driving behavior imitation Deep reinforcement learning Stacked denoising autoencoders Car-following model
ISSN:	0378-4371, 1873-2119
On-line prístup:	Získať plný text
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