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  • Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data

    < Back Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data Link Author(s) RJ Spick, P Cowling, JA Walker Abstract More info TBA Link

  • Mind the gap: Distributed practice enhances performance in a MOBA game

    < Back Mind the gap: Distributed practice enhances performance in a MOBA game Link Author(s) O Vardal, V Bonometti, A Drachen, A Wade, T Stafford Abstract More info TBA Link

  • Author's declaration

    < Back Author's declaration Link Author(s) D Ratcliffe Abstract More info TBA Link

  • Rolling Horizon Co-evolution in Two-player General Video Game Playing

    < 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

  • Posterior Sampling for Deep Reinforcement Learning

    < Back Posterior Sampling for Deep Reinforcement Learning Link Author(s) R Sasso, M Conserva, P Rauber Abstract More info TBA Link

  • Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence

    < Back Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence Link Author(s) T Lawton, P Morgan, Z Porter, S Hickey, A Cunningham, N Hughes, ... Abstract More info TBA Link

  • Final Fantasy VII Remake Music Redesign for Evolved Expectations Across Console Generations

    < Back Final Fantasy VII Remake Music Redesign for Evolved Expectations Across Console Generations Link Author(s) K Worrall Abstract More info TBA Link

  • Planning in GVGAI

    < Back Planning in GVGAI Link Author(s) DP Liebana, RD Gaina Abstract More info TBA Link

  • How Could They Win? An Exploration of Win Condition for Esports Narratives

    < Back How Could They Win? An Exploration of Win Condition for Esports Narratives Link Author(s) AP Chitayat, FO Block, JA Walker, A Drachen Abstract More info TBA Link

  • Defining the esports bettor: evidence from an online panel survey of emerging adults

    < Back Defining the esports bettor: evidence from an online panel survey of emerging adults Link Author(s) H Wardle, E Petrovskaya, D Zendle Abstract More info TBA Link

  • NATS

    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. NATS

  • Two decades of game jams

    < Back Two decades of game jams Link Author(s) G Lai, A Kultima, F Khosmood, J Pirker, A Fowler, I Vecchi, W Latham, ... Abstract More info TBA Link

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The EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (iGGi) is a leading PhD research programme aimed at the Games and Creative Industries.

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