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A novel learning-assisted planning framework, termed Landscape-Aware Meta Differential Evolution (LAMDE), is proposed to tackle the mentioned limitations and achieves state-of-the-art performance on the tested complex UAV path planning tasks in WSN data collection scenarios.
A novel framework that enhances UAV navigation by effectively grounding language instructions in visual contexts and optimizing decision-making over long horizons.
Unlearning in multimodal recommendation systems is broken because deleted data's influence isn't uniform; TRU fixes this with targeted interventions, achieving better forgetting with less performance loss.
