Summary of Python Agent in Ludii, by Izaias S. De Lima Neto (1) et al.
Python Agent in Ludii
by Izaias S. de Lima Neto, Marco A. A. de Aguiar Vieira, Anderson R. Tavares
First submitted to arxiv on: 18 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Machine learning educators can expect this paper to introduce Ludii, a Java-based general game system that enables developers to create new board games and train agents using Python interfaces. The system’s API allows for developing new agents and a game description language facilitates creating new games. This update aims to improve versatility and ease development by providing Python interfaces for agent programming, enabling the use of Python modules to implement general game playing agents. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is all about a special computer system called Ludii that lets people create new board games and train computers to play those games. The system makes it easy for developers to add new games and even trains computers to play them! This update makes the system better by letting developers use Python, a popular programming language, to create new agents that can play games. |
Keywords
» Artificial intelligence » Machine learning