Exploring a video game AI bot that scans and reacts to its surroundings in real-time.

• Main Author: Karlsson, Rasmus
• Format: Others
• Language: English
• Published: Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) 2018
• Subjects: Artificial intelligence; image processing; neural network; Computer and Information Sciences; Data- och informationsvetenskap
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76737

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.