3 papers
cs.AI2026
Stein Variational Black-Box Combinatorial Optimization
Thomas Landais, Olivier Goudet, Adrien Goëffon +2
Combinatorial black-box optimization in high-dimensional settings demands a careful trade-off between exploiting promising regions of the search space and preserving sufficient exp…
cs.LG2026
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
Olivier Goudet, Quentin Suire, Adrien Goëffon +2
We introduce an order-invariant reinforcement learning framework for black-box combinatorial optimization. Classical estimation-of-distribution algorithms (EDAs) often rely on lear…
cs.NE2025
Discovering new robust local search algorithms with neuro-evolution
Mohamed Salim Amri Sakhri, Adrien Goëffon, Olivier Goudet +2
This paper explores a novel approach aimed at overcoming existing challenges in the realm of local search algorithms. Our aim is to improve the decision process that takes place wi…