Matthew Guzdial
Scholar

Matthew Guzdial

Google Scholar ID: jKqmTbIAAAAJ
Associate Professor, University of Alberta
Artificial IntelligenceMachine LearningGamesComputational Creativity
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,659
 
H-index
19
 
i10-index
38
 
Publications
20
 
Co-authors
20
list available
Contact
Emailmguzdial3@gatech.eduCVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
3 items
Finite Automata Extraction: Low-data World Model Learning as Programs from Gameplay Video
2025
Cited
0
A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
2025
Cited
0
Personalizing Exposure Therapy via Reinforcement Learning
2025
Cited
0
Resume (English only)
Research Experience
  • Assistant Professor, University of Alberta
Background
  • Research focuses on creative artificial intelligence and machine learning, with two major research vectors. The first is the application of AI/ML to domains we would typically consider requiring human creativity, which exposes limitations and potential for development of current AI/ML approaches. The second is the application of computational models of creativity to standard AI/ML tasks to improve the performance on these tasks.
Miscellany
  • Contact: guzdial at ualberta dot ca, Twitter: @MatthewGuz, YouTube, GitHub
Co-authors
20 total
Mark Riedl
Mark Riedl
Professor of Computing, Georgia Institute of Technology
Co-author 2
Co-author 2
Sam Snodgrass
Sam Snodgrass
modl.ai
Co-author 4
Co-author 4
Nathan Sturtevant
Nathan Sturtevant
University of Alberta, Alberta Machine Intelligence Institute (Amii)
Amy K. Hoover
Amy K. Hoover
Assistant Professor of Informatics at New Jersey Institute of Technology
Boyang "Albert" Li
Boyang "Albert" Li
Nanyang Associate Professor, Nanyang Technological University
Julian Togelius
Julian Togelius
Associate Professor of Computer Science and Engineering, New York University; co-founder, modl.ai