2 papers
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…
cs.LG2026
Differentiated Pickup Point Offering for Emission Reduction in Last-Mile Delivery
Albina Galiullina, Wouter van Heeswijk, Tom van Woensel
Pickup points are widely recognized as a sustainable alternative to home delivery, as consolidating orders at pickup locations can shorten delivery routes and improve first-attempt…