43 citations · 103 across the 26 of their papers we have counts for
4 papers · 1 filter
A Research Agenda for Usability and Generalisation in Reinforcement Learning
Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens +1
It is common practice in reinforcement learning (RL) research to train and deploy agents in bespoke simulators, typically implemented by engineers directly in general-purpose progr…
Anytime Sequential Halving in Monte-Carlo Tree Search
Dominic Sagers, Mark H. M. Winands, Dennis J. N. J. Soemers
Monte-Carlo Tree Search (MCTS) typically uses multi-armed bandit (MAB) strategies designed to minimize cumulative regret, such as UCB1, as its selection strategy. However, in the r…
Enhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing
Dennis J. N. J. Soemers, Chiara F. Sironi, Torsten Schuster +1
General Video Game Playing (GVGP) is a field of Artificial Intelligence where agents play a variety of real-time video games that are unknown in advance. This limits the use of dom…
Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games
Dennis J. N. J. Soemers, Guillaume Bams, Max Persoon +5
Many enhancements to Monte-Carlo Tree Search (MCTS) have been proposed over almost two decades of general game playing and other artificial intelligence research. However, our abil…