3 papers
cs.LG2026
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…
cs.LG2026
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…
math.OC2023
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…