(Deprecated, merged into ygo-agent)
Yugioh AI uses large language models (LLM) and RL to play Yu-Gi-Oh. It is inspired by yugioh-ai and yugioh-game, and uses ygopro-core.
An automated setup script is provided for Linux (tested on Ubuntu 22.04). It will install all dependencies and build the library. To run it, execute the following commands:
make setupTest that the repo is setup correctly by running:
python cli.py --deck1 deck/Starter.ydk --deck2 deck/BlueEyes.ydk
You should see text output showing two random AI playing a duel by making random moves.
You can set --seed to a fixed value to get deterministic results.
The implementation is initially based on yugioh-game. To provide a clean game environment, it removes all server code and only keeps basic duel-related classes and message handlers. To implement the AI, inspired by yugioh-ai, every message handler also provides all possible actions that can be taken in response to the message.
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