General Game Heuristic Prediction Based on Ludeme Descriptions

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Abstract

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 learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.
Original languageEnglish
Title of host publication2021 IEEE Conference on Games (CoG)
PublisherIEEE Canada
Pages1-4
Number of pages4
ISBN (Print)978-1-6654-4608-2
DOIs
Publication statusPublished - 20 Aug 2021
Event3rd IEEE Conference on Games - Online, IT Univesity of Copenhagen, Copenhagen, Denmark
Duration: 17 Aug 202120 Aug 2021
Conference number: 3
https://ieee-cog.org/2021/

Conference

Conference3rd IEEE Conference on Games
Abbreviated titleCoG 2021
Country/TerritoryDenmark
CityCopenhagen
Period17/08/2120/08/21
Internet address

Keywords

  • Conferences
  • Games
  • Predictive models

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