Scholar
Matthew Barthet
Google Scholar ID: QrXVsvUAAAAJ
Ph.D. Candidate at the University of Malta
Citations & Impact
Citations
117
H-index
7
i10-index
4
Publications
15
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Matthew proposed a PhD project on Affect-Driven Reinforcement Learning. The project aims to expand upon the Go-Blend proof of concept (Barthet, Liapis & Yannakakis, 2021) and investigate the relationship between behavior and affect, and its impact on training reinforcement learning (RL) agents to play games and/or generate content. He plans to use the Go-Explore algorithm in conjunction with human affect demonstrations provided through the AGAIN dataset (Melhart, Liapis & Yannakakis, 2021).
Research Experience
- Matthew's research focuses on leveraging Artificial Intelligence to train game-playing agents to behave and exhibit emotions in a human-like manner. For his master's thesis, he designed an innovative, creativity-centric building generator for Minecraft. Additionally, he works part-time as a freelance/independent game developer, using Unity and Godot game engines, which has greatly benefited his research by providing him with the skills to create specialized game environments for testing and deploying his work.
Education
- Matthew Barthet is a PhD student at the Institute of Digital Games, University of Malta, specializing in Games Research and AI. Advisor information not provided.
Background
- Matthew Barthet is a full-time PhD student at the Institute of Digital Games (University of Malta), specializing in Games Research and AI. His research is at the cutting edge of the field, focusing on leveraging Artificial Intelligence to train game-playing agents to behave and exhibit emotions in a human-like manner. He is also interested in the use of AI to procedurally generate unique and captivating game content, which led him to work with Minecraft where he designed an innovative, creativity-centric building generator for his master’s thesis. In addition to his academic pursuits, he has also started working part-time as a freelance/independent game developer using the Unity and Godot game engines. This experience has greatly benefited his research as it’s given him the skillset required to create specialized game environments for the testing and deployment of his work.
Miscellany
- Matthew is very passionate about combining his work in AI and academia with the practical side of his game development skills, and it’s something he intends to keep exploring in the future.
