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#.

Setup

• 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

How to run

• 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.

Editing the ai

• 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

Using

• Project Ignis EDOPRO-core https://github.com/ProjectIgnis/EDOPro-Core
• Project Ignis Windbot https://github.com/ProjectIgnis/windbot