/FPS-Victory-BayesianNetwork

A small Bayesian network model for assessing players' victory in a 1v1 FPS game match.

Primary LanguageJupyter NotebookMIT LicenseMIT

FPS-Victory-BayesianNetwork

This project describes a simple Bayesian Network model for assessing players' victory in a 1v1 FPS game match, inspired by Microsoft's TrueSkill.

Requirements

Our code only requires pgmpy as a dependency:

pip install pgmpy

Note: pgmpy requires PyTorch, which can mess your CUDA installation, so we recommend running it as a Colab notebook.

Code

The code with model's detailed description is available as a jupyter notebook in FPS_Victory_model.ipynb file.