Learning based AI for playing multi-round Koi-Koi hanafuda card games. Have fun.

Related tags

Deep Learning python machine-learning deep-learning pytorch transformer card-game game-ai hanafuda attention-is-all-you-need pysimplegui koi-koi
Overview

Koi-Koi AI

Learning based AI for playing multi-round Koi-Koi hanafuda card games.

Play Interface

Platform

  • Python
  • PyTorch
  • PySimpleGUI (for the interface playing vs AI)

About Koi-Koi Hanafuda Card Games

Hanafuda is a kind of traditional Japanese playing cards. A hanafuda deck contains 48 cards divided by 12 suits corresponding to 12 months, which are also divided into four rank-like categories with different importance. Koi-Koi is a kind of two-player hanafuda card game. The goal of Koi-Koi is to collect cards by matching the cards by suit, and forming specific winning hands called Yaku from the acquired pile to earn points from the opponent.

Hanafuda Deck

Rules & Yaku List

Koi-Koi is consisted by multiple rounds and both players start with equal points. In every round, two players discard and draw to pair and collect cards by turn until someone forms Yakus successfully. Then, he can end this round to receive points from the opponent, or claim koi-koi and continues this round to earn more yakus and points. The detailed rules and Yaku list of this project is the same as PC game KoiKoi-Japan on Steam.

Yaku List

Network Model & Dataset

The model is a card-state self-attention based neural network with multiple Transformer encoder layers, and is trained by supervised learning. The dataset of 200 eight-round Koi-Koi game records is also provided.

Model

Future Work

Try to improve the performance with reinforcement learning...

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Comments
  • 💖 the screenshot in your readme!

    💖 the screenshot in your readme!

    Very nice job of putting a screenshot in your readme. It looks GREAT! What a beautiful window you've made.... beatiful

    Because it's a game and thus has an interface that changes often, it may work even better to have a GIF animation.... not that there's anything at ALL wrong or missing from what you've done! It's fantastic.

    I use ShareX (https://getsharex.com/) to make animated GIFs. I don't know how this program makes TINY GIFs from large in size and length animations, but it does.

    Here's one I made a while back and I simply copied and pasted into a GitHub Issue.... like I did here:

    notepad

    opened by PySimpleGUI 2
Owner
Sanghai Guan
业精于勤荒于嬉
Sanghai Guan
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