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- General win prediction from agent experience
< Back General win prediction from agent experience Link Author(s) RD Gaina, SM Lucas, D Perez-Liebana Abstract More info TBA Link
- Different rules for binocular combination of luminance flicker in cortical and subcortical pathways
< Back Different rules for binocular combination of luminance flicker in cortical and subcortical pathways Link Author(s) FG Segala, A Bruno, MT Aung, AR Wade, DH Baker Abstract More info TBA Link
- The Effects of a Soundtrack on Board Game Player Experience
< Back The Effects of a Soundtrack on Board Game Player Experience Link Author(s) T Farkas, A Denisova, S Wiseman, R Fiebrink 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
- The trails of just cause 2: spatio-temporal player profiling in open-world games
< Back The trails of just cause 2: spatio-temporal player profiling in open-world games Link Author(s) M Aung, S Demediuk, Y Sun, Y Tu, Y Ang, S Nekkanti, S Raghav, ... Abstract More info TBA Link
- Network Bending: Expressive Manipulation of Deep Generative Models
< Back Network Bending: Expressive Manipulation of Deep Generative Models Link Author(s) T Broad, FF Leymarie, M Grierson Abstract More info TBA Link
- AI and Wargaming
< Back AI and Wargaming Link Author(s) J Goodman, S Risi, S Lucas Abstract More info TBA Link
- Clip-guided gan image generation: An artistic explorationClip-guided gan image generation: An artistic exploration
< Back Clip-guided gan image generation: An artistic explorationClip-guided gan image generation: An artistic exploration Link Author(s) A Smith, S Colton Abstract More info TBA Link
- PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning
< 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
- King
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. King
- All watched over by machines of loving grace: Deepdream edition
< Back All watched over by machines of loving grace: Deepdream edition Link Author(s) M Akten Abstract More info TBA Link
- Perceptual Evaluation of Modal Synthesis for Impact-Based Sounds
< Back Perceptual Evaluation of Modal Synthesis for Impact-Based Sounds Link Author(s) A Barahona, S Pauletto Abstract More info TBA Link


