20 citations · 64 across the 27 of their papers we have counts for
4 papers · 1 filter
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
Recent challenges in operating power networks arise from increasing energy demands and unpredictable renewable sources like wind and solar. While reinforcement learning (RL) shows…
An iterative sample scenario approach for the dynamic dispatch waves problem
Leon Lan, Jasper van Doorn, Niels A. Wouda +2
A challenge in same-day delivery operations is that delivery requests are typically not known beforehand, but are instead revealed dynamically during the day. This uncertainty intr…
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features
Joris Pries, Guus Berkelmans, Sandjai Bhulai +1
Over the past few years, the use of machine learning models has emerged as a generic and powerful means for prediction purposes. At the same time, there is a growing demand for int…
The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw
Joris Pries, Etienne van de Bijl, Jan Klein +2
Before any binary classification model is taken into practice, it is important to validate its performance on a proper test set. Without a frame of reference given by a baseline me…