An Overview of the Ludii General Game System

2019-06-29 · Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne

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 development of Ludii, a general game system that will be able to model and play the complete range of games required by this project. Such an undertaking will create a wide range of possibilities for new AI challenges. In this paper we describe many of the features of Ludii that can be used. This includes designing and modifying games using the Ludii game description language, creating agents capable of playing these games, and several advantages the system has over prior general game software.

📄 PDF Abstract BibTeX arXiv:1907.00240

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Ludii Game Logic Guide

2021-01-06 · Éric Piette, Cameron Browne, Dennis J. N. J. Soemers

This technical report outlines the fundamental workings of the game logic behind Ludii, a general game system, that can be used to play a wide variety of games. Ludii is a program developed for the ERC-funded Digital Lud…

Ludii -- The Ludemic General Game System

2019-05-13 · Éric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi 외

While current General Game Playing (GGP) systems facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often somewhat specialised and computationally inefficient. In this paper, we describ…

A note on the empirical comparison of RBG and Ludii

2019-10-01 · Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykuła

We present an experimental comparison of the efficiency of three General Game Playing systems in their current versions: Regular Boardgames (RBG 1.0), Ludii~0.3.0, and a Game Description Language (GDL) propnet. We show t…

An Empirical Evaluation of Two General Game Systems: Ludii and RBG

2019-06-29 · Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne

Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat specialised to a specific class of game…

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2021-01-23 · Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud

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. The training and search algorithms are n…

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