Abstract: Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario, which requires the model to continually learn new classes with limited labeled data (i.e., ...
Abstract: This paper presents a novel adaptive control framework for multi-agent systems (MAS), integrating Adaptive Dynamic Programming (ADP) and Backpropagation (BP) neural networks. By leveraging ...