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  • The n-tuple bandit evolutionary algorithm for automatic game improvement

    < Back The n-tuple bandit evolutionary algorithm for automatic game improvement Link Author(s) K Kunanusont, RD Gaina, J Liu, D Perez-Liebana, SM Lucas Abstract More info TBA Link

  • Synthesising Knocking Sound Effects Using Conditional WaveGAN

    < Back Synthesising Knocking Sound Effects Using Conditional WaveGAN Link Author(s) A Barahona-Rıos, S Pauletto Abstract More info TBA Link

  • System and Method for Point Cloud Generation

    < Back System and Method for Point Cloud Generation Link Author(s) T Bradley, MV Barreiro, O Hume, R Spick, J Walker Abstract More info TBA Link

  • Using Machine Learning to Design Movement Interaction in Virtual Reality

    < Back Using Machine Learning to Design Movement Interaction in Virtual Reality Link Author(s) R Gibson, N Plant, C Gonzalez Diaz, B Martelli, M Zbyszyński, R Fiebrink, ... Abstract More info TBA Link

  • Ill Health and Grief Fuel Gaming, while Lethargy Slows It: Playtime-Wellbeing Confounds from the Player Perspective

    < Back Ill Health and Grief Fuel Gaming, while Lethargy Slows It: Playtime-Wellbeing Confounds from the Player Perspective Link Author(s) N Ballou, T Földesa, T Hakmana, AK Przybylskia Abstract More info TBA Link

  • AI and Games

    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. AI and Games

  • Falmouth University

    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. Falmouth University

  • Human Point Cloud Generation using Deep Learning

    < Back Human Point Cloud Generation using Deep Learning Link Author(s) R Spick, T Bradley, N Williams, JA Walker Abstract More info TBA Link

  • Online-Trained Fitness Approximators for Real-World Game Balancing

    < Back Online-Trained Fitness Approximators for Real-World Game Balancing Link Author(s) M Morosan, R Poli Abstract More info TBA Link

  • The Multi-Agent Reinforcement Learning in Malm\" O (MARL\" O) Competition

    < Back The Multi-Agent Reinforcement Learning in Malm\" O (MARL\" O) Competition Link Author(s) Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, Andre Kramer, Sam Devlin, Raluca D Gaina, Daniel Ionita Abstract More info TBA Link

  • Approximating the Manifold Structure of Attributed Incentive Salience from Large-scale Behavioural Data: A Representation Learning Approach Based on Artificial Neural Networks

    < Back Approximating the Manifold Structure of Attributed Incentive Salience from Large-scale Behavioural Data: A Representation Learning Approach Based on Artificial Neural Networks Link Author(s) V Bonometti, MJ Ruiz, A Drachen, A Wade Abstract More info TBA Link

  • CBT Clinics

    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. CBT Clinics

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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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