maze-dataset: Maze Generation with Algorithmic Variety and Representational Flexibility
maze-dataset: Maze Generation with Algorithmic Variety and Representational Flexibility - Published in JOSS (2025)
Science Score: 87.0%
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Published in Journal of Open Source Software
Last synced: 8 months ago
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JOSS Publication
maze-dataset: Maze Generation with Algorithmic Variety and Representational Flexibility
Published
October 21, 2025
Volume 10, Issue 114, Page 8633
Authors
Michael Igorevich Ivanitskiy
Colorado School of Mines, Department of Applied Mathematics and Statistics
Colorado School of Mines, Department of Applied Mathematics and Statistics
Aaron Sandoval
Independent
Independent
Alexander F. Spies
Imperial College London
Imperial College London
Tilman Räuker
UnSearch.org
UnSearch.org
Brandon Knutson
Colorado School of Mines, Department of Applied Mathematics and Statistics
Colorado School of Mines, Department of Applied Mathematics and Statistics
Cecilia Diniz Behn
Colorado School of Mines, Department of Applied Mathematics and Statistics
Colorado School of Mines, Department of Applied Mathematics and Statistics
Samy Wu Fung
Colorado School of Mines, Department of Applied Mathematics and Statistics
Colorado School of Mines, Department of Applied Mathematics and Statistics
Editor
Vangelis Kourlitis