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< Back PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning Link Author(s) M Balla, GEM Long, J Goodman, RD Gaina, D Perez-Liebana Abstract More info TBA Link

< Back Sketch-Based Modeling of Parametric Shapes Link Author(s) D Berio, P Cruz, J Echevarria Abstract More info TBA Link

< Back Autoencoding video frames Link Author(s) T Broad, M Grierson Abstract More info TBA Link

< Back First experiments in the automatic generation of pseudo-profound pseudo-bullshit image titles Link Author(s) S Colton, S Berns, BP Ferrer Abstract More info TBA Link

< Back Growing Together: An Analysis of Measurement Transparency Across 15 Years of Player Motivation Questionnaires Link Author(s) NGJ Hughes, JR Flockton, P Cairns Abstract More info TBA Link

< Back Perceived value of video games, but not hours played, predicts mental well-being in adult Nintendo players Link Author(s) N Ballou, M Vuorre, T Hakman, K Magnusson, AK Przybylski Abstract More info TBA Link

< 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

< Back Tackling sparse rewards in real-time games with statistical forward planning methods Link Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract More info TBA Link

< Back Obstacle avoidance control law for two-wheeled mobile robots controlled by oscillators Link Author(s) K Denamganai, T Nakamura, N Hara, K Konishi Abstract More info TBA Link

< Back Evaluating the Effects on Monte Carlo Tree Search of Predicting Co-operative Agent Behaviour Link Author(s) J Walton-Rivers 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. Fnatic Limited

< Back InteractML: Node Based Tool to Empower Artists and Dancers in using Interactive Machine Learning for Designing Movement Interaction Link Author(s) C Hilton, C Gonzalez Diaz, R Gibson, P Perry, R Fiebrink, M Zbyszynski, ... Abstract More info TBA Link