20 citations · 29 across the 6 of their papers we have counts for
7 papers
VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning
Joery A. de Vries, Jinke He, Yaniv Oren +3
Optimally trading-off exploration and exploitation is the holy grail of reinforcement learning as it promises maximal data-efficiency for solving any task. Bayes-optimal agents ach…
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance
Jacobus G. M. van der Linden, Daniël Vos, Mathijs M. de Weerdt +2
Recently there has been a surge of interest in optimal decision tree (ODT) methods that globally optimize accuracy directly, in contrast to traditional approaches that locally opti…
EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
Laurens Bliek, Arthur Guijt, Rickard Karlsson +2
Surrogate algorithms such as Bayesian optimisation are especially designed for black-box optimisation problems with expensive objectives, such as hyperparameter tuning or simulatio…
The Maintenance Scheduling and Location Choice Problem for Railway Rolling Stock
Jordi Zomer, Nikola Bešinović, Mathijs M. de Weerdt +1
Due to increasing railway use, the capacity at railway yards and maintenance locations is becoming limiting. Therefore, the scheduling of rolling stock maintenance and the choice r…
The Maintenance Location Choice Problem for Railway Rolling Stock
Jordi Zomer, Nikola Bešinović, Mathijs M. de Weerdt +1
Due to increasing railway use, the capacity at railway yards and maintenance locations is becoming limiting to accommodate existing rolling stock. To reduce capacity issues at main…
Distributed Coordination of Deferrable Loads: A Real-time Market with Self-fulfilling Forecasts
Hazem A. Abdelghany, Simon H. Tindemans, Mathijs M. de Weerdt +1
Increased uptake of variable renewable generation and further electrification of energy demand necessitate efficient coordination of flexible demand resources to make most efficien…
Benchmarking Flexible Electric Loads Scheduling Algorithms under Market Price Uncertainty
Koos van der Linden, Natalia Romero, Mathijs M. de Weerdt
Because of increasing amounts of intermittent and distributed generators in power systems, many demand response programs have been developed to schedule flexible energy consumption…