Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving

29 Jan 2019 Meixin Zhu Yinhai Wang Ziyuan Pu Jingyun Hu Xuesong Wang Ruimin Ke

A model used for velocity control during car following was proposed based on deep reinforcement learning (RL). To fulfil the multi-objectives of car following, a reward function reflecting driving safety, efficiency, and comfort was constructed... (read more)

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