https://github.com/sukiboo/game_of_life

Solving Game of Life with Machine Learning
https://github.com/sukiboo/game_of_life

backpropagation game-of-life neural-networks supervised-machine-learning tensorflow

Last synced: 14 days ago
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Solving Game of Life with Machine Learning

• Host: GitHub
• URL: https://github.com/sukiboo/game_of_life
• Owner: sukiboo
• License: mit
• Created: 2022-12-03T15:50:32.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-08-15T14:52:21.000Z (almost 3 years ago)
• Last Synced: 2025-03-14T19:52:28.627Z (about 1 year ago)
• Topics: backpropagation, game-of-life, neural-networks, supervised-machine-learning, tensorflow
• Language: Python
• Homepage:
• Size: 15.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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"

### Setup

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](https://github.com/Ansebi/Game_Of_Life).

### Training Board

![game_of_life_board](https://github.com/sukiboo/game_of_life/assets/38059493/ab17205d-63e3-452a-be8c-2d20686185e2)

### Results

![success_1_recursive_tanh](https://github.com/sukiboo/game_of_life/assets/38059493/f16090ba-c116-4c98-8440-db5ca784844e)

![success_1_recursive_relu](https://github.com/sukiboo/game_of_life/assets/38059493/bad6f13b-e587-482c-98a7-4cfce39d9b55)

![success_2_recursive_tanh](https://github.com/sukiboo/game_of_life/assets/38059493/88cf79b2-8115-4f2b-866a-441739841b43)