Abstract: To solve the constrained many-objective optimization problems (CMaOPs), the tradeoff among convergence, diversity, and feasibility is a crucial and challenging task. This article proposes a ...
Abstract: Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all ...
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