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- AutoGraff: Towards a computational understanding of graffiti writing and related art forms
< Back AutoGraff: Towards a computational understanding of graffiti writing and related art forms Link Author(s) D Berio Abstract More info TBA Link
- Learning local forward models on unforgiving games
< Back Learning local forward models on unforgiving games Link Author(s) A Dockhorn, SM Lucas, V Volz, I Bravi, RD Gaina, D Perez-Liebana Abstract More info TBA Link
- Social experiences of people with disabilities in playing (in) accessible digital games
< Back Social experiences of people with disabilities in playing (in) accessible digital games Link Author(s) J Beeston Abstract More info TBA Link
- Creativity Theatre for Demonstrable Computational Creativity
< Back Creativity Theatre for Demonstrable Computational Creativity Link Author(s) S Colton, J McCormack, M Cook, S Berns Abstract More info TBA Link
- Evaluating virtual reality experiences through participant choices
< Back Evaluating virtual reality experiences through participant choices Link Author(s) M Murcia-López, T Collingwoode-Williams, W Steptoe, R Schwartz, ... Abstract More info TBA Link
- Rinascimento: searching the behaviour space of Splendor
< Back Rinascimento: searching the behaviour space of Splendor Link Author(s) I Bravi, S Lucas Abstract More info TBA Link
- Active Divergence with Generative Deep Learning--A Survey and Taxonomy
< Back Active Divergence with Generative Deep Learning--A Survey and Taxonomy Link Author(s) T Broad, S Berns, S Colton, M Grierson Abstract More info TBA Link
- Automatic Evaluation of Tabletop Games | iGGi PhD
Automatic Evaluation of Tabletop Games Theme Game AI Project proposed & supervised by Diego Pérez-Liébana To discuss whether this project could become your PhD proposal please email: diego.perez@qmul.ac.uk < Back Automatic Evaluation of Tabletop Games Project proposal abstract: Modern Tabletop games are complex environments that combine multiple components: cards, tokens, boards, mechanics and rules. The amount, type and parameter values for each of these components affect the playability and balance of the game, influencing how the game is perceived by players and what strategies are better to win. This project proposal aims to research and develop methods to accurately evaluate the impact of each of these components in different aspects of gameplay, such as dominant strategies and game balance. In particular, the focus is set in large and complex games where it is computationally unaffordable to evaluate old or new content by playing the full game. The outcome of this project can lead not only to advance the state of the art in automatic evaluation techniques for existing games, but also to evaluate the impact of new components or mechanics in a game in development. Supervisor: Diego Pérez-Liébana Based at:
- A local approach to forward model learning: Results on the game of life game
< Back A local approach to forward model learning: Results on the game of life game Link Author(s) SM Lucas, A Dockhorn, V Volz, C Bamford, RD Gaina, I Bravi, ... Abstract More info TBA Link
- Task Relabelling for Multi-task Transfer using Successor Features
< Back Task Relabelling for Multi-task Transfer using Successor Features Link Author(s) M Balla, D Perez-Liebana Abstract More info TBA Link
- Emergence in the Expressive Machine
< Back Emergence in the Expressive Machine Link Author(s) L Dekker Abstract More info TBA Link
- Nice is Different than Good: Longitudinal Communicative Effects of Realistic and Cartoon Avatars in Real Mixed Reality Work Meetings
< Back Nice is Different than Good: Longitudinal Communicative Effects of Realistic and Cartoon Avatars in Real Mixed Reality Work Meetings Link Author(s) GC Dobre, M Wilczkowiak, M Gillies, X Pan, S Rintel Abstract More info TBA Link


