43 citations · 99 across the 31 of their papers we have counts for
8 papers · 1 filter
Ludii as a Competition Platform
Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers +1
Ludii is a general game system being developed as part of the ERC-funded Digital Ludeme Project (DLP). While its primary aim is to model, play, and analyse the full range of tradit…
Ludii and XCSP: Playing and Solving Logic Puzzles
Cédric Piette, Éric Piette, Matthew Stephenson +2
Many of the famous single-player games, commonly called puzzles, can be shown to be NP-Complete. Indeed, this class of complexity contains hundreds of puzzles, since people particu…
An Empirical Evaluation of Two General Game Systems: Ludii and RBG
Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers +1
Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat…
An Overview of the Ludii General Game System
Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers +1
The Digital Ludeme Project (DLP) aims to reconstruct and analyse over 1000 traditional strategy games using modern techniques. One of the key aspects of this project is the develop…
Foundations of Digital Archæoludology
Cameron Browne, Dennis J. N. J. Soemers, Éric Piette +15
Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using mode…
Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates
Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson +1
In recent years, state-of-the-art game-playing agents often involve policies that are trained in self-playing processes where Monte Carlo tree search (MCTS) algorithms and trained…
Ludii -- The Ludemic General Game System
Éric Piette, Dennis J. N. J. Soemers, Matthew Stephenson +3
While current General Game Playing (GGP) systems facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often somewhat specialised and computationall…
Biasing MCTS with Features for General Games
Dennis J. N. J. Soemers, Éric Piette, Cameron Browne
This paper proposes using a linear function approximator, rather than a deep neural network (DNN), to bias a Monte Carlo tree search (MCTS) player for general games. This is unlike…