The source code of a project to study the performance of Machine Learning to predict good parameters to improve the adaptivity of different AI players in a simulated Breakout game. The game adaptivity is done by a reinforcement learning agent, but alternative parameters are suggested by supervised learning model through the analysis of collected game data.
python 3.8
pip 20.3
Open the game in the Unity Game Editor and build the game in directory called build/
inside the root of the repo.
Run in the root of the repository:
pip install -r python/requirements.txt
Be sure to have the game built inside the build/
directory and all the requirements and dependencies installed.
Run in the root of the repository:
python python
This script runs the supervised learning models again, so it is necessary to have both data_train.csv
and data_test.csv
in the root of the repository.
Run in the root of the repository:
python python/test_model.py
- João Álvaro Ferreira
- João Augusto Lima
- João Carlos Maduro
- Mariana Neto