Active Learning Prototypes for Teaching Game AI

Supplementary materials for “Active Learning Prototypes for Teaching Game AI”

Overview

This package contains the following files and folders:

LICENSE_CODE.txt - The license for the included code.

LICENSE_DATA.txt - The license for the included data.

README.md - Package description.

requirements.txt- Specifies the Python dependencies required for running the included notebook.

survey_analysis.ipynb - Notebook used for analyzing the survey data.

survey_data.ods- Fully anonymized survey data.

Reproducibility of results

The results presented in the research paper “Active Learning Prototypes for Teaching Game AI”, published in the Proceedings of the IEEE Conference on Games 2023, and authored by Nuno Fachada, Filipa F. Barreiros, Phil Lopes and Micaela Fonseca, can be reproduced with the Jupyter notebook included in this package.

Licenses

The code in the Jupyter Notebook is made available under the MIT license (see LICENSE_CODE.txt).

The non-code materials are made available under a CC-BY 4.0 license (see LICENSE_OTHER.txt).