Backpropagation-based Reinforcement Learning for Decision Tree

Supervisor     Iacca Giovanni
Co-supervisor     Custode Leonardo Lucio

This repo holds my thesis for my Bachelor's Degree in Computer, Communication and Electronic Engineering at the Università di Trento, in 2022.
It focuses on studying, developing and testing a way to leverage techniques created for neural networks (namely backpropagation), together with evolutionary computation, to optimize interpretable machine learning models, such as decision trees.