A Human–Machine Interaction–Experience–Learning Algorithm for Integrated Lateral–Longitudinal Decision-Making and Control in Intelligent Connected Vehicles
Traditional reinforcement learning for autonomous driving faces challenges such as slow convergence, control instability, and limited adaptability. To address these issues, this paper proposes a hybrid decision-making framework that integrates V2X communication, human–machine interaction experience, and deep reinforcem...