Exploring a video game AI bot that scans and reacts to its surroundings in real-time.
Rasmus Karlsson · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2018
The buzz surrounding artificial intelligences continues to grow. They are currently used in a wide variety of systems and appliances, such as video games, virtual personal assistants, and self-driving cars. This paper explores the possibility of a self-learning AI that can play the classic arcade game Q*BERT, using only screenshots as input. It is tested to work on several different screens sizes, and the results are collected and compared to that of a human player, as well as results from previous research. The results are fairly positive. While the AI had a hard time of matching the human player on average score, it did get close to the highest score.