Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment

17 Apr 2018 Yingjun Ye Xiaohui Zhang Jian Sun

Automated vehicles are deemed to be the key element for the intelligent transportation system in the future. Many studies have been made to improve the Automated vehicles' ability of environment recognition and vehicle control, while the attention paid to decision making is not enough though the decision algorithms so far are very preliminary... (read more)

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