Wouter Kool

17 papers A* 2B 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
KDD (2)
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2024 J jnl
PyVRP: A High-Performance VRP Solver Package.
INFORMS J. Comput.
Niels A. Wouda, Leon Lan, Wouter Kool
2024 J jnl
PyVRP: a high-performance VRP solver package.
CoRR
Niels A. Wouda, Leon Lan, Wouter Kool
2023 J jnl
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun
2023 — conf
Machine Learning Applications in Route Planning for Attended Home Delivery.
BNAIC/BENELEARN
Thomas R. Visser, Ruggiero Seccia, Wouter Merkx, Wouter Kool, Leendert Kok
2022 B conf
Deep Policy Dynamic Programming for Vehicle Routing Problems.
CPAIOR
Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling
2021 J jnl
Deep Policy Dynamic Programming for Vehicle Routing Problems.
CoRR
Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling
2021 — conf
The EURO Meets NeurIPS 2022 Vehicle Routing Competition.
NeurIPS (Competition and Demos)
Wouter Kool, Laurens Bliek, Danilo Numeroso, Yingqian Zhang, Tom Catshoek, Kevin Tierney, Thibaut Vidal, Joaquim A. S. Gromicho
2021 J jnl
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts.
CoRR
Wouter Kool, Chris J. Maddison, Andriy Mnih
2020 J jnl
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement.
J. Mach. Learn. Res.
Wouter Kool, Herke van Hoof, Max Welling
2020 A* conf
Estimating Gradients for Discrete Random Variables by Sampling without Replacement.
ICLR
Wouter Kool, Herke van Hoof, Max Welling
2020 J jnl
Estimating Gradients for Discrete Random Variables by Sampling without Replacement.
CoRR
Wouter Kool, Herke van Hoof, Max Welling
2019 — conf
Attention, Learn to Solve Routing Problems!
ICLR (Poster)
Wouter Kool, Herke van Hoof, Max Welling
2019 — conf
Buy 4 REINFORCE Samples, Get a Baseline for Free!
DeepRLStructPred@ICLR
Wouter Kool, Herke van Hoof, Max Welling
2019 A* conf
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement.
ICML
Wouter Kool, Herke van Hoof, Max Welling
2019 J jnl
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement.
CoRR
Wouter Kool, Herke van Hoof, Max Welling
2018 J jnl
Attention Solves Your TSP.
CoRR
Wouter Kool, Max Welling