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  • Embodied, in-medium design of VR game motion controls using interactive supervised learning

    < Back Embodied, in-medium design of VR game motion controls using interactive supervised learning Link Author(s) C Gonzalez Diaz Abstract More info TBA Link

  • A comparison of the effects of haptic and visual feedback on presence in virtual reality

    < Back A comparison of the effects of haptic and visual feedback on presence in virtual reality Link Author(s) JK Gibbs, M Gillies, X Pan Abstract More info TBA Link

  • ETHER: Aligning Emergent Communication for Hindsight Experience Replay

    < Back ETHER: Aligning Emergent Communication for Hindsight Experience Replay Link Author(s) Kevin Denamganaï, Daniel Hernandez, Ozan Vardal, Sondess Missaoui, James Alfred Walker Abstract More info TBA Link

  • Four dilemmas for video game effects scholars: How digital trace data can improve the way we study games

    < Back Four dilemmas for video game effects scholars: How digital trace data can improve the way we study games Link Author(s) D Zendle, N Ballou, J Cutting, E Petrovskaya Abstract More info TBA Link

  • Speeding up genetic algorithm-based game balancing using fitness predictors

    < Back Speeding up genetic algorithm-based game balancing using fitness predictors Link Author(s) M Morosan, R Poli Abstract More info TBA Link

  • House of Commons

    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. House of Commons

  • Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games

    < Back Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games Link Author(s) DS Ratcliffe, L Citi, S Devlin, U Kruschwitz Abstract More info TBA Link

  • Goldsmiths, University of London (Goldsmiths) | iGGi PhD

    < Back iGGi Goldsmiths is located in New Cross, South East London, five miles from central London. iGGi is a consortium of four universities or sites: the University of York (York), Queen Mary University of London (QMUL), Goldsmiths, University of London (Goldsmiths), and the University of Essex (Essex). iGGi received funding in two phases: “iGGi 1” funded the first five cohorts of researchers across York, QMUL, Goldsmiths, and Essex and PGR intake spans from 2014 to 2018; “iGGi 2” started in 2019 with funding for a further five cohorts, this time only at York and QMUL. Due to either placement-related interruption of studies and/or switching to part-time studies, some of the "Goldsmiths iGGis" from the iGGi 1 funding round are still in the process of completing their PhD work. Goldsmiths is therefore still listed here as an active iGGi site, even though future iGGi main events such as the iGGi Conference and the iGGi Game Jam will take place at one of the iGGi 2 sites, i.e., either York or QMUL. iGGi Goldsmiths is part of Goldsmiths' Computing Department . You can find the Goldsmiths campus map in the gallery below. Goldsmiths, University of London (Goldsmiths) iGGi Goldmiths Gallery Main Building, Goldsmiths Campus Map, Goldsmiths Ben Pimlott Building, Goldsmiths Previous Next

  • From Code to Play: Benchmarking Program Search for Games Using Large Language Models

    < Back From Code to Play: Benchmarking Program Search for Games Using Large Language Models Link Author(s) M Eberhardinger, J Goodman, A Dockhorn, D Perez-Liebana, RD Gaina, ... Abstract More info TBA Link

  • Casual Creators in the Wild: A Typology of Commercial Generative Creativity Support Tools

    < Back Casual Creators in the Wild: A Typology of Commercial Generative Creativity Support Tools Link Author(s) E Petrovskaya, CS Deterding, S Colton Abstract More info TBA Link

  • Robust Imitation Learning for Automated Game Testing

    < Back Robust Imitation Learning for Automated Game Testing Link Author(s) PV Amadori, T Bradley, R Spick, G Moss Abstract More info TBA Link

  • Planning in GVGAI

    < Back Planning in GVGAI Link Author(s) DP Liebana, RD Gaina 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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