Abstract: Concept drift, referring to the temporal evolution of data distributions, presents a significant challenge to the deployment of machine learning models in dynamic, real-world environments.
Abstract: Object-goal navigation is a highly challenging task where an agent must navigate to a target solely based on visual observations. Current reinforcement learning-based methods for object-goal ...
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