EvoPawness Game

Based on the article that I write
Part 1: https://towardsdatascience.com/create-your-own-board-game-with-powerful-ai-from-scratch-part-1-5dcb028002b8
Part 2: https://towardsdatascience.com/create-ai-for-your-own-board-game-from-scratch-minimax-part-2-517e1c1e3362
Part 3: https://towardsdatascience.com/create-ai-for-your-own-board-game-from-scratch-alpha-zero-part-3-f22761372245

This repository has the documentation almost all of functions. Hope that it will make you understand better.

The game will be used to experiment some AI Algorithms. There are two AI Algorithms that have been already implemented:

  1. AlphaZero
  2. Minimax


  1. Python 3.6 (Anaconda Python is preferred)
  2. Pandas
  3. Tensorflow (For implementing AlphaZero)
  4. Keras (For implementing AlphaZero)
  5. PtQt5 (For the GUI)

Install Python Anaconda if you haven't https://www.anaconda.com/download/

install each packages by using pip install


You can see config.py for the configuration of this program and edit it. See the config.py for further information

How to use

  1. Clone the git repository
  2. Do the following accordingly:

Train AlphaZero without pre-trained model (the model that you have previously trained):
python main.py train -azt

Train AlphaZero from pre-trained model:
python main.py train -aztc

Play the game with PyQt5 GUI :
python main.py play -p GUI

CLI is currently unavailable


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Q : Can I Contribute?
A : Of course, just tell me what you want to contribute.

Q : Can I Contact you?
A : email me in haryomaenan@gmail.com if you want to contact me. Especially about this project.