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Found 4 papers, 2 papers with code
Fully Hyperbolic Convolutional Neural Networks for Computer Vision
To address this, we present HCNN, a fully hyperbolic convolutional neural network (CNN) designed for computer vision tasks.
Attention, Filling in The Gaps for Generalization in Routing Problems
Machine Learning (ML) methods have become a useful tool for tackling vehicle routing problems, either in combination with popular heuristics or as standalone models.
Learning to Control Local Search for Combinatorial Optimization
Combinatorial optimization problems are encountered in many practical contexts such as logistics and production, but exact solutions are particularly difficult to find and usually NP-hard for considerable problem sizes.
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
In this paper we present a new approach to tackle complex routing problems with an improved state representation that utilizes the model complexity better than previous methods.
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