43 citations · 99 across the 31 of their papers we have counts for
7 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…
Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewards
Alexander G. Padula, Dennis J. N. J. Soemers
Proximal Policy Optimization (PPO) is commonly used in Reinforcement Learning from Human Feedback to align large language models (LLMs) with downstream tasks. This paper investigat…
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…
GAVEL: Generating Games Via Evolution and Language Models
Graham Todd, Alexander Padula, Matthew Stephenson +3
Automatically generating novel and interesting games is a complex task. Challenges include representing game rules in a computationally workable form, searching through the large s…
Games of Knightian Uncertainty as AGI testbeds
Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski
Arguably, for the latter part of the late 20th and early 21st centuries, games have been seen as the drosophila of AI. Games are a set of exciting testbeds, whose solutions (in ter…
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…