Search Results
Results found for empty search
- Computational approaches for understanding the diagnosis and treatment of Parkinson's disease
< Back Computational approaches for understanding the diagnosis and treatment of Parkinson's disease Link Author(s) SL Smith, MA Lones, M Bedder, JE Alty, J Cosgrove, RJ Maguire, ... Abstract More info TBA Link
- Redundancy Resolution in Trimanual vs. Bimanual Tracking Tasks
< Back Redundancy Resolution in Trimanual vs. Bimanual Tracking Tasks Link Author(s) A Sanmartín-Senent, N Peña-Perez, E Burdet, J Eden Abstract More info TBA Link
- Dominik Jeurissen
< Back Dominik Jeurissen Queen Mary University of London iGGi PG Researcher Hey, I'm Dominik Jeurissen, and I'm passionate about both software engineering and machine learning, with a particular interest in fully autonomous agents that do not rely on absurd amounts of data. My focus areas include reinforcement learning, unsupervised learning, and the emerging capabilities of large language models. I earned my MSc in Artificial Intelligence from Maastricht University and my BSc in Computer Science with a focus on Applied Mathematics from RWTH Aachen. During my undergraduate studies, I worked as a software engineer at INFORM GmbH, contributing to their supply management software, add*ONE. A description of Dominik's research: My PhD is a collaboration with Creative Assembly , focusing on researching AI for complex strategy games, such as Total War. With the recent emergence of Large Language Models (LLMs), I’m exploring their potential to enhance game-playing agents. LLMs can instantly recall knowledge on almost any topic (though not without occasional errors), perform basic reasoning, and are easily configured for a wide range of text-based tasks. These abilities make them especially promising for game development, where machine learning agents often struggle due to constantly changing game environments. d.jeurissen@qmul.ac.uk Email https://commandercero.github.io/ Mastodon Other links Website https://www.linkedin.com/in/dominik-jeurissen/ LinkedIn https://bsky.app/profile/dominikjeurissen.bsky.social BlueSky https://github.com/CommanderCero Github Supervisors: Dr Diego Pérez-Liébana Dr Jeremy Gow Featured Publication(s): Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Generating Diverse and Competitive Play-Styles for Strategy Games PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Automatic Goal Discovery in Subgoal Monte Carlo Tree Search Game state and action abstracting monte carlo tree search for general strategy game-playing Portfolio search and optimization for general strategy game-playing The Design Of" Stratega": A General Strategy Games Framework Themes Design & Development Game AI Game Data - Previous Next
- System and method for training a machine learning model
< Back System and method for training a machine learning model Link Author(s) R Spick, G Moss, T Bradley, PV Amadori Abstract More info TBA Link
- TileAttack
< Back TileAttack Link Author(s) C Madge Abstract More info TBA Link
- Gamifying language resource acquisition
< Back Gamifying language resource acquisition Link Author(s) CJ Madge Abstract More info TBA Link
- Virtual Creature Morphology‐A Review
< Back Virtual Creature Morphology‐A Review Link Author(s) G Lai, FF Leymarie, W Latham, T Arita, R Suzuki Abstract More info TBA Link
- MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay
< Back MAP-Elites to Generate a Team of Agents that Elicits Diverse Automated Gameplay Link Author(s) C Guerrero-Romero, D Perez-Liebana Abstract More info TBA Link
- Design Inspiration for Motivating Uncertainty in Games using Stage Magic Principles
< Back Design Inspiration for Motivating Uncertainty in Games using Stage Magic Principles Link Author(s) S Kumari Abstract More info TBA Link
- Time to die 2: Improved in-game death prediction in dota 2
< Back Time to die 2: Improved in-game death prediction in dota 2 Link Author(s) C Ringer, S Missaoui, VJ Hodge, AP Chitayat, A Kokkinakis, S Patra, ... Abstract More info TBA Link
- Prof William Latham
< Back Prof. William Latham Goldsmiths iGGi Co-Investigator Supervisor William Latham is well known for his pioneering organic computer art created in the 80s and early 90s whilst a Research Fellow at IBM in Winchester. In 1993 he moved into Rave Music setting up a small studio in Soho, creating album covers, stage designs and videos for bands including The Shamen for three years. He then worked for ten years as Creative Director and CEO of a large computer games development company, with studios in London and Brighton, creating PC and console games published by Vivendi Universal, SONY and Warner Bros. Among the games he has produced were Evolva for Virgin Interactive, and the hit game The Thing for Vivendi Universal for Xbox, PlayStation, PC. based on the famous John Carpenter horror movie set in Antarctica. In 2007, he became a Professor in Computing at Goldsmiths, where he works on research projects with Imperial College, York University, and the Oxford Weatherall Institute. His recent "Mutator VR" Sci-Fi art experience developed at Goldsmiths for the HTC Vive has been exhibited to much acclaim in galleries and museums Shanghai, Venice, Kyoto, Dusseldorf and St. Petersburg. William was an undergraduate student at Christchurch College, Oxford University, and a postgraduate student at The Royal College of Art. His book on interactive evolutionary design, “Evolutionary Art and Computers” is cited as a leading publication in this domain. He is Director of SoftV Ltd, a company which develops Neuroscience Patient mobile Games Apps for the NHS in Unity, and is a co-founder of London Geometry Ltd. w.latham@gold.ac.uk Email Mastodon https://www.mutatorvr.co.uk Other links Website https://www.linkedin.com/in/william-latham-757326/ LinkedIn BlueSky Github Themes Creative Computing Immersive Technology - Previous Next
- Prof Anders Drachen
< Back Prof. Anders Drachen Supervisor Anders Drachen, PhD, (born 1976) is a Professor at the Department of Computer Science, with Digital Creativity Labs and Weavr at the University of York (UK). His work in games research is focused on user behavior, user experience and audience engagement and the application of data science, information systems modelling, business intelligence, design and Human-Computer Interaction in these domains. His research and professional work are carried out in collaboration with companies across the Creative Industries, from big publishers to indies. He is recognized as one of the most influential people in his domains of work and have authored over a hundred publications with international colleagues across industry and academia. Having lived and worked on four different continents, Anders Drachen has had the mixed pleasure of fending off three shark attacks in Africa and Australia. He is also the youngest Dane in history to publish a cooking book – dedicated to ice cream. Research themes: Data Science, Analytics, Machine Learning in Interactive Media Big Data, behavior- and social media analytics in the Creative Industries Data Mining and Business Informatics in the Creative Industries Data-Driven Storytelling and Audience Engagement Games User Research and User Experience in Games Data-Driven Design and Development Human-Computer Interaction Esports and Sports Analytics Behavioral/Market Analytics and Business Intelligence Entrepreneurship in the Creative Industries Blockchain and Cryptocurrencies anders.drachen@york.ac.uk Email Mastodon https://www.andersdrachen.com Other links Website https://www.linkedin.com/in/drachen/ LinkedIn BlueSky Github Themes Design & Development Esports Game Data Player Research - Previous Next




