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Found 2 papers, 1 papers with code
Neural Improvement Heuristics for Graph Combinatorial Optimization Problems
Conducted experiments demonstrate that the proposed model can recommend neighborhood operations that outperform conventional versions for the Preference Ranking Problem with a performance in the 99th percentile.
Neural Combinatorial Optimization: a New Player in the Field
Neural Combinatorial Optimization attempts to learn good heuristics for solving a set of problems using Neural Network models and Reinforcement Learning.
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