Download PDFOpen PDF in browser

Artificial Intelligence in Video Games

EasyChair Preprint no. 4921

4 pagesDate: January 22, 2021


This work will explore three methods of machine learning that make it possible to train an algorithm to the extent that it can play the video game Super Mario and outperform human players. The aim is to find out which method of machine learning is best suited and what the differences are.

Keyphrases: Artificial Intelligence, supervised learning, Supervised Learning Reinforcement Learning, unsupervised learning, video games

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ahmed Behe Eddine Cherif and Marwen Ben Salem},
  title = {Artificial Intelligence in Video Games},
  howpublished = {EasyChair Preprint no. 4921},

  year = {EasyChair, 2021}}
Download PDFOpen PDF in browser