2 citations · 2 across the 2 of their papers we have counts for
4 papers
Reward-Weighted Preference Optimization for Selective Combinatorial Optimization Problems
Haohui Zhang, Xinyu Hu, Wouter van Heeswijk +2
Reinforcement learning has emerged as an effective approach for combinatorial optimization, but most existing methods focus on problems such as the Travelling Salesperson Problem (…
Causal Analysis for Time Series Foundation Models
Mathis Jander, Wouter van Heeswijk, Martijn Mes
Transitioning from bespoke time series models towards time series foundation models changes the relationship of model and application from one-to-one to one-to-many. This shift int…
Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
Heiko Hoppe, Fabian Akkerman, Wouter van Heeswijk +1
Reinforcement Learning (RL) is increasingly applied to large-scale decision-making problems like logistics, scheduling, and recommender systems, but existing algorithms struggle wi…
The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs
Robert van Steenbergen, Wouter van Heeswijk, Martijn Mes
Humanitarian logistics operations face increasing difficulties due to rising demands for aid in disaster areas. This paper investigates the dynamic allocation of scarce relief supp…