This library simulates the process of a board game. The goal of the simulation is to predict the game process statistics depending on various parameters. From this, we can conclude which parameters are desirable to set in order to play effectively in a real game.
We design a simple board game as an reinforcement learning environment and try to solve this.
For more details, read the documention in here.
Installation in virtual environment is always recommended:
python -m venv .venv
source .venv/bin/activateSimply install with pip:
pip install rbgameWarning
If you want to animate the game process with pre-trained models, please follow steps in our documention.