Abstract: Data-driven optimization problems (DDOPs) have become increasingly prevalent in real-world applications where analytical models are unavailable or expensive to evaluate. Data-driven ...
Abstract: In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the ...
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