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20192021
most citedStrategic Features for General Games

10 citations · 18 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.AI2021

Optimised Playout Implementations for the Ludii General Game System

Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson +1

This paper describes three different optimised implementations of playouts, as commonly used by game-playing algorithms such as Monte-Carlo Tree Search. Each of the optimised imple…

cs.AI2021

Automatic Generation of Board Game Manuals

Matthew Stephenson, Eric Piette, Dennis J. N. J. Soemers +1

In this paper we present a process for automatically generating manuals for board games within the Ludii general game system. This process requires many different sub-tasks to be a…

cs.AI2021

General Board Game Concepts

Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers +1

Many games often share common ideas or aspects between them, such as their rules, controls, or playing area. However, in the context of General Game Playing (GGP) for board games,…

cs.AI2021

General Game Heuristic Prediction Based on Ludeme Descriptions

Matthew Stephenson, Dennis J. N. J. Soemers, Eric Piette +1

This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression…

cs.AI2021

Deep Learning for General Game Playing with Ludii and Polygames

Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne +1

Combinations of Monte-Carlo tree search and Deep Neural Networks, trained through self-play, have produced state-of-the-art results for automated game-playing in many board games.…

cs.AI202110 cited

Strategic Features for General Games

Cameron Browne, Dennis J. N. J. Soemers, Eric Piette

This short paper describes an ongoing research project that requires the automated self-play learning and evaluation of a large number of board games in digital form. We describe t…