9 citations · 10 across the 7 of their papers we have counts for
7 papers
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad, Fabio Zambetta, Flora Salim +4
SCONE-GAN presents an end-to-end image translation, which is shown to be effective for learning to generate realistic and diverse scenery images. Most current image-to-image transl…
Replicability and Transparency for the Creation of Public Human User Video Game Datasets
Emma J. Pretty, Renan Guarese, Haytham M. Fayek +1
Replicability is absent in games research; a lack of transparency in protocol detail hinders scientific consensus and willingness to publish public datasets, impacting the applicat…
Evoking empathy with visually impaired people through an augmented reality embodiment experience
Renan Guarese, Emma Pretty, Haytham Fayek +2
To promote empathy with people that have disabilities, we propose a multi-sensory interactive experience that allows sighted users to embody having a visual impairment whilst using…
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
Andrew Chester, Michael Dann, Fabio Zambetta +1
Model-based reinforcement learning algorithms are typically more sample efficient than their model-free counterparts, especially in sparse reward problems. Unfortunately, many inte…
Informing a BDI Player Model for an Interactive Narrative
Jessica Rivera-Villicana, Fabio Zambetta, James Harland +1
This work focuses on studying players behaviour in interactive narratives with the aim to simulate their choices. Besides sub-optimal player behaviour due to limited knowledge abou…
Exploring Apprenticeship Learning for Player Modelling in Interactive Narratives
Jessica Rivera-Villicana, Fabio Zambetta, James Harland +1
In this paper we present an early Apprenticeship Learning approach to mimic the behaviour of different players in a short adaption of the interactive fiction Anchorhead. Our motiva…
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network
Wei Shao, Flora D. Salim, Jeffrey Chan +2
Deep learning has been extended to a number of new domains with critical success, though some traditional orienteering problems such as the Travelling Salesman Problem (TSP) and it…