yugiohai's Introduction

Yugioh Ai

This is a Yugioh Ai Simulator. The final build will have Ai find the best deck as well as play optimally.

Breakdown

There are 2 Ais that need to made. A deck building Ai which is written in python. And a game Ai written in c#.

Use Project Ignis Edopro OR if building EdoPro, see https://github.com/edo9300/edopro/wiki/
You will also need to edit the EDOPro's code in order to launch LAN mode and start the game automaticly when running from the python scripts. See ChangestoEdopro.txt
Download sqllite expert personal to read the .cdb database files

Run python train_ai.py -t -r to train the ai. -t is to set the flag to train, -r is to set the flag to reset the database
read_game_data.py will train all the data in the database. Add the flag -s to see what it thinks which action to take
get_action_weights.py will run an http server which windbot uses. You must run this if you are going to manualy run the AI.
After building the Windbot, in the Debug/bin file, you can run a pre program AI using this command .\WindBot.exe Deck=Master Hand=2 Name=Random2 TotalGames=25 IsTraining=false IsFirst=false and run a trained AI using this command .\WindBot.exe Deck=Random1 Hand=1 Name=Random1 TotalGames=100 IsFirst=true IsTraining=false IsManual=false be sure to run the python server by using the command get_action_weights.py.

Notable files in Windbot are Logger.cs, GameAI.cs and RandomExecutorBase.cs
Logger.cs controls the Weights when they are updated and read
GameAI controls how the ai works
RandomExecutorBase controls all the math and decision the AI makes.
In order to run the AI on EDOPro, you need to update the version number of the windbot in WindbotInfo.cs. You can get the version number from EDOPro by running a LAN game, adding a bot, and copying it's launch arguments