We 🧪 research with 🎮 games!
Here in the 🎮 Game 🧪 Research 👩🔬 Lab (GRL/🎮🧪👩🔬) we use digital games as a medium for academic research. We consider 🍿 entertainment games and 😐 'serious' games ⚖️ equally 🏆 valuable objects of study, and involve both in our work. The GRL develops novel 🖥 computational and 🎨 design approaches for ➕ creating, 🕹 playing, and 📊 analyzing 🎮 games; and pursue both the application of state-of-the-art 🤖 AI research to games and new insights for AI from games. The GRL is fundamentally 🫂 interdisciplinary and actively pursues 🧑🤝🧑 collaborations that challenge the current understanding of games. Our research has strong links to HCI, cognitive science, social science, and digital humanities.
The Lab Team
Our group of player characters.
You can find us and our Lab in 🏫 Gorleaus Buildling BM3.33
Mike Preuss
Mike is doing research on algorithms in game AI and how to apply them to practical problems, in the games domain and beyond (e.g. engineering, chemical, social media computing). He is involved in pushing AI use into new areas of game research, as with Team AI (human/agent as well as agent/agent cooperation). He is a regular co-organizer of conferences as IEEE CoG (formerly CIG) and an associate editor of the IEEE Transactions on Games.
Matthias Müller-Brockhausen
Matthias's passion for games in science started with his master's thesis on Tetris Link AI and continued through his PhD research on the synergies between Transfer in Reinforcement Learning and Procedural Content Generation.
Giulio Barbero
I moved to the Netherlands in 2014 to start my studies. Now teaching and researching the use of video games and gamification practices for education.
Qianpu Chen
Qianpu Chen is doing research on multi-agent systems. Her work explores strategic interaction and decision-making among intelligent agents in environments related to social dilemmas and game-theoretic settings. She also works on computer vision, including research exploring the intersection of artificial intelligence and art.
Associates
People that collaborate with our lab
Marcello A. Gómez-Maureira
Researcher and designer, drawn to projects that involve multidisciplinary challenges and the potential to build connections between them. His research interests focus on the interplay between humans and interactive technology.
Alan Kai Hassen
Alan is interested in transferring Artificial Intelligence techniques developed for solving games (Go, Chess, Grand Turismo, etc.) to the Chemistry domain. His main research interest lies in Computer-Aided Synthesis Planning (compare: ESR7 @ ai-dd.eu).
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2023—Believable Minecraft Settlements by Means of Decentralised Iterative Planning DOI: 10.1109/CoG57401.2023.10333146
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2023—Chatter Generation through Language Models DOI: 10.1109/CoG57401.2023.10333244
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2023—High-accuracy model-based reinforcement learning, a survey. DOI: 10.1007/s10462-022-10335-w