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< Back Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Link Author(s) R Sasso, M Sabatelli, MA Wiering Abstract More info TBA Link

< Back Progression in a language annotation game with a purpose Link Author(s) C Madge, J Yu, J Chamberlain, U Kruschwitz, S Paun, M Poesio Abstract More info TBA Link

< Back Towards an Ontology of Wargame Design Link Author(s) L Ouriques, CE Barbosa, J Kritz, G Xexéo Abstract More info TBA Link

< Back The effect of lip and arm synchronization on embodiment: a pilot study Link Author(s) T Collingwoode-Williams, M Gillies, C McCall, X Pan Abstract More info TBA Link

< Back Believability Assessment and Modelling in Video Games Link Author(s) C Pacheco 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. Human VR

< Back Investigating sensorimotor contingencies in the enactive interface Link Author(s) JK Gibbs, K Devlin Abstract More info TBA Link

< Back Light field completion using focal stack propagation Link Author(s) T Broad, M Grierson 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. The Chinese Room

< Back Deep Learning for Wave Height Classification in Satellite Images for Offshore Wind Access Link Author(s) RJ Spick, JA Walker 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. BetaJester Limited

< Back Win or learn fast proximal policy optimisation Link Author(s) DS Ratcliffe, K Hofmann, S Devlin Abstract More info TBA Link