In this project, we use Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.
Our experiments and findings are summarized in our Report, following the intructions of the project.
This work is part of an assignment for the course "Artificial Neural Networks" at EPFL, and is the joint effort of Francesco Salvi and Bruno Ploumhans.