8 citations · 10 across the 3 of their papers we have counts for
3 papers
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic, Sofia Michel, Jean-Marc Andreoli
Machine Learning-based heuristics have recently shown impressive performance in solving a variety of hard combinatorial optimization problems (COPs). However, they generally rely o…
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
Darko Drakulic, Sofia Michel, Florian Mai +2
Despite the success of neural-based combinatorial optimization methods for end-to-end heuristic learning, out-of-distribution generalization remains a challenge. In this paper, we…
On the Generalization of Neural Combinatorial Optimization Heuristics
Sahil Manchanda, Sofia Michel, Darko Drakulic +1
Neural Combinatorial Optimization approaches have recently leveraged the expressiveness and flexibility of deep neural networks to learn efficient heuristics for hard Combinatorial…