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< Back The CyberAnthill: A Computational Sculpture Link ​ Author(s) E Raskob Abstract ​ More info TBA ​ Link

< Back Tools To Adjust Tension And Suspense In Strategy Games: An Investigation Link ​ Author(s) D Gomme, R Bartle Abstract ​ More info TBA ​ Link

iGGi PhD Projects 2023 Design and Development This page displays the supervisor-proposed PhD projects on offer under the above stated theme: If you are interested in any of the projects listed and would like further details and/or to discuss, please email the project supervisor. Please note that you can also frame your own project independently granted that you have secured a supervisor's support. For a list of available supervisors please see the accepting students section of our website. ​ While iGGi has checked that the project descriptions listed below are within iGGi's scope , we wish to highlight that you are still responsible for ensuring that your proposal, too, is in line with this scope, and we would further like to point out that supervisor-framed projects are not prioritised in the application selection process: they are judged by the same criteria as applicant-framed proposals. For guidance to make sure that the proposal you submit (regardless of whether it has been supervisor-framed or created entirely by you) sits within iGGi's scope please refer to this link: https://iggi.org.uk/iggi-scope Navigate to other Themes on offer: Game AI Design & Development Player Research Game Audio Game Data Immersive Technology Creative Computing E-Sports Applied Games Back to ALL Projects Design and Development ​ Realistic physical interaction of 3D point cloud objects This project will investigate geometric and machine learning approaches to developing 3D game assets. Price Design and Development Duration Miles Hansard, Changjae Oh Read More Load More

< Back The impact of stiffness in bimanual versus dyadic interactions requiring force exchange Link ​ Author(s) N Pena-Perez, SA Mutalib, J Eden, I Farkhatdinov, E Burdet Abstract ​ More info TBA ​ Link

< Back Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data Link ​ Author(s) D Zendle, C Flick, D Halgarth, N Ballou, S Demediuk, A Drachen Abstract ​ More info TBA ​ Link

< Back Lessons from testing an evolutionary automated game balancer in industry Link ​ Author(s) M Morosan, R Poli Abstract ​ More info TBA ​ Link

< Back ​ Dr Paulo Rauber Queen Mary University of London ​ Supervisor ​ ​ I am a lecturer in Artificial Intelligence at Queen Mary University of London. Before becoming a lecturer, I was a postdoctoral researcher in the Swiss AI lab working on reinforcement learning under the supervision of Jürgen Schmidhuber. I believe that intelligence should be defined as a measure of the ability of an agent to achieve goals in a wide range of environments, which makes reinforcement learning an excellent framework to study many challenges that intelligent agents are bound to face. My current research is focused on developing principled but scalable Bayesian reinforcement learning methods that address the most significant of these challenges: exploration, planning, and generalization. ​ p.rauber@qmul.ac.uk Email Mastodon https://paulorauber.com/ Other links Website LinkedIn Twitter https://github.com/paulorauber Github ​ ​ Themes Game AI - Previous Next

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: ​ Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! ​ There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Graz University of Technology

< Back A local approach to forward model learning: Results on the game of life game Link ​ Author(s) SM Lucas, A Dockhorn, V Volz, C Bamford, RD Gaina, I Bravi, ... Abstract ​ More info TBA ​ Link

< Back A compression method for spectral photon map rendering Link ​ Author(s) G Lai, NJ Christensen Abstract ​ More info TBA ​ Link

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: ​ Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! ​ There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Science City York (SCY)

< Back Rolling Horizon Co-evolution in Two-player General Video Game Playing Link ​ Author(s) C Ringer, C Pacheco, GC Dobre, D Perez-Liebana Abstract ​ More info TBA ​ Link