59 citations · 110 across the 49 of their papers we have counts for
4 papers · 1 filter
Assessing the Potential of Classical Q-learning in General Game Playing
Hui Wang, Michael Emmerich, Aske Plaat
After the recent groundbreaking results of AlphaGo and AlphaZero, we have seen strong interests in deep reinforcement learning and artificial general intelligence (AGI) in game pla…
Fast and Reproducible LOFAR Workflows with AGLOW
A. P. Mechev, J. B. R Oonk, T. Shimwell +3
The LOFAR radio telescope creates Petabytes of data per year. This data is important for many scientific projects. The data needs to be efficiently processed within the timespan of…
Pipeline Collector: gathering performance data for distributed astronomical pipelines
Alexandar P. Mechev, Aske Plaat, J. B. Raymond Oonk +2
Modern astronomical data processing requires complex software pipelines to process ever growing datasets. For radio astronomy, these pipelines have become so large that they need t…
Monte Carlo Tree Search for Asymmetric Trees
Thomas M. Moerland, Joost Broekens, Aske Plaat +1
We present an extension of Monte Carlo Tree Search (MCTS) that strongly increases its efficiency for trees with asymmetry and/or loops. Asymmetric termination of search trees intro…