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LQR control of intelligent vehicles via deep reinforcement learning with a human–vehicle motion sickness comfort coupled model

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
To address the motion sickness comfort issues of occupants caused by the path-tracking accuracy and stability control of autonomous vehicles under varying steering conditions, a multi-objective control strategy is proposed based on a deep reinforcement ...