maze-dataset
Introduced by Ivanitskiy et al. in A Configurable Library for Generating and Manipulating Maze Datasets
This package provides utilities for generation, filtering, solving, visualizing, and processing of mazes for training ML systems. Primarily built for the maze-transformer interpretability project. You can find our paper on it here: http://arxiv.org/abs/2309.10498
This package includes a variety of maze generation algorithms, including randomized depth first search, Wilson's algorithm for uniform spanning trees, and percolation. Datasets can be filtered to select mazes of a certain length or complexity, remove duplicates, and satisfy custom properties. A variety of output formats for visualization and training ML models are provided.
Papers
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