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Jun, 2024
记忆增强型神经求解器在组合优化中的高效自适应
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization
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Felix Chalumeau, Refiloe Shabe, Noah de Nicola, Arnu Pretorius, Thomas D. Barrett...
TL;DR
MEMENTO是一种基于记忆的强化学习方法,可以在推理时间动态更新行动分布,提高神经求解器的适应性和性能。
Abstract
combinatorial optimization
is crucial to numerous real-world applications, yet still presents challenges due to its (NP-)hard nature. Amongst existing approaches,
heuristics
often offer the best trade-off between
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