20 citations · 26 across the 5 of their papers we have counts for
5 papers
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…
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…
RangL: A Reinforcement Learning Competition Platform
Viktor Zobernig, Richard A. Saldanha, Jinke He +12
The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decisio…
Modelling of trends in Twitter using retweet graph dynamics
Marijn ten Thij, Tanneke Ouboter, Daniel Worm +3
In this paper we model user behaviour in Twitter to capture the emergence of trending topics. For this purpose, we first extensively analyse tweet datasets of several different eve…