General Game Heuristic Prediction Based on Ludeme Descriptions
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 2 of its 17 references that are in the map. First posted on arXiv 26 May 2021.
Builds on
2 of 17 references.
References · 2
- 2019Ludii -- The Ludemic General Game Systemcited by 39
- 2020Modern Techniques for Ancient Gamescited by 9
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1; 2025: 3.
7 papers.
- 2021General Board Game Conceptscited by 8
- 2024Grammar-based Game Description Generation using Large Language Modelscited by 7
- 2023Measuring Board Game Distancecited by 5
- 2021Automatic Generation of Board Game Manualscited by 2
- 2025Grammar and Gameplay-aligned RL for Game Description Generation with LLMscited by 2
- 2025Best Agent Identification for General Game Playingcited by 1
- 2025Towards Explaining Monte-Carlo Tree Search by Using Its Enhancementscited by 0
- 2025Best Agent Identification for General Game Playing1 Jul 2025
- 2025Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements16 Jun 2025
- 2025Grammar and Gameplay-aligned RL for Game Description Generation with LLMs20 Mar 2025
- 2024Grammar-based Game Description Generation using Large Language Models24 Jul 2024
- 2023Measuring Board Game Distance10 Jan 2023
- 2021Automatic Generation of Board Game Manuals20 Sep 2021
- 2021General Board Game Concepts2 Jul 2021