Solving Game of Life with Machine Learning

This repository contains the source code for the paper "Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway's Game of Life"

Each experiment is controlled by the configuration file in ./configs. Run an experiment via

python -m main -c config_file_name

For a detailed process of the training board design, see an unhinged devlog.

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
configs		configs
images		images
training_boards		training_boards
LICENSE		LICENSE
README.md		README.md
game_of_life.py		game_of_life.py
main.py		main.py
models.py		models.py
visualization.py		visualization.py

Provide feedback