Search Results
Results found for empty search
- Posterior Sampling for Deep Reinforcement Learning
< Back Posterior Sampling for Deep Reinforcement Learning Link Author(s) R Sasso, M Conserva, P Rauber Abstract More info TBA Link
- Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence
< Back Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence Link Author(s) T Lawton, P Morgan, Z Porter, S Hickey, A Cunningham, N Hughes, ... Abstract More info TBA Link
- Final Fantasy VII Remake Music Redesign for Evolved Expectations Across Console Generations
< Back Final Fantasy VII Remake Music Redesign for Evolved Expectations Across Console Generations Link Author(s) K Worrall Abstract More info TBA Link
- Planning in GVGAI
< Back Planning in GVGAI Link Author(s) DP Liebana, RD Gaina Abstract More info TBA Link
- How Could They Win? An Exploration of Win Condition for Esports Narratives
< Back How Could They Win? An Exploration of Win Condition for Esports Narratives Link Author(s) AP Chitayat, FO Block, JA Walker, A Drachen Abstract More info TBA Link
- Defining the esports bettor: evidence from an online panel survey of emerging adults
< Back Defining the esports bettor: evidence from an online panel survey of emerging adults Link Author(s) H Wardle, E Petrovskaya, D Zendle Abstract More info TBA Link
- NATS
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. NATS
- Two decades of game jams
< Back Two decades of game jams Link Author(s) G Lai, A Kultima, F Khosmood, J Pirker, A Fowler, I Vecchi, W Latham, ... Abstract More info TBA Link
- Changes of user experience in an adaptive game: a study of an AI manager
< Back Changes of user experience in an adaptive game: a study of an AI manager Link Author(s) F Foffano, D Thue Abstract More info TBA Link
- Skill Depth in Tabletop Board Games
< Back Skill Depth in Tabletop Board Games Link Author(s) J Goodman, D Perez-Liebana, S Lucas Abstract More info TBA Link
- Ubisoft Massive Entertainment
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. Ubisoft Massive Entertainment
- Beyond Playing to Win: Creating a Team of Agents with Distinct Behaviours for Automated Gameplay
< Back Beyond Playing to Win: Creating a Team of Agents with Distinct Behaviours for Automated Gameplay Link Author(s) C Guerrero-Romero, S Lucas, D Perez-Liebana Abstract More info TBA Link



