Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...
Abstract: Active vision learning aims to develop intelligent systems capable of actively exploring and understanding their surroundings to optimize detection performance. Although current research has ...
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