Search Results

< Back AI and Wargaming Link Author(s) J Goodman, S Risi, S Lucas Abstract More info TBA Link

< 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

< 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

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

< Back All watched over by machines of loving grace: Deepdream edition Link Author(s) M Akten Abstract More info TBA Link

< Back Perceptual Evaluation of Modal Synthesis for Impact-Based Sounds Link Author(s) A Barahona, S Pauletto Abstract More info TBA Link

< Back ETHER: Aligning Emergent Communication for Hindsight Experience Replay Link Author(s) Kevin Denamganaï, Daniel Hernandez, Ozan Vardal, Sondess Missaoui, James Alfred Walker Abstract More info TBA Link

< Back Beyond Playing to Win: Elicit General Gameplaying Agents with Distinct Behaviours to Assist Game Development and Testing Link Author(s) C Guerrero Romero Abstract More info TBA Link

< Back Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions Link Author(s) OJ Scholten, D Zendle, JA Walker Abstract More info TBA Link

< Back Dr Henrik Siljebråt Goldsmiths iGGi Alum Henrik has a background in IT/DevOps and a Masters in Cognitive Science from Lund University. Based on established neurobiological correlates of reinforcement learning (RL), I investigate animal learning and decision making using cognitive modeling techniques, such as probabilistic programming and machine learning. Animals somehow manage to create useful representations of incoming sensory information, representations then used for learning and decision making. How these representations of states of the world are integrated into task structure and models of the world is an open question, which I investigate using behavioural experiments with humans and bumblebees and modelling said behaviour using RL combined with hidden state models for representing states and task structure. The potential findings of these experiments have promise to not only elucidate the workings of the animal brain but also provide valuable contributions to artificial intelligence, where improved models of state representations could vastly improve data efficiency and generalizability over current generation systems. Please note: Updating of profile text in progress h.siljebrat@gold.ac.uk Email Mastodon https://henrik.siljebrat.se Other links Website https://www.linkedin.com/in/henrik-siljebrat LinkedIn BlueSky https://github.com/fohria Github Featured Publication(s): On State Representations and Behavioural Modelling Methods in Reinforcement Learning The Effect of State Representations in Sequential Sensory Prediction: Introducing the Shape Sequence Task Towards human-like artificial intelligence using StarCraft 2 Themes - Previous Next

< Back Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning Link Author(s) A Katona, N Lourenço, P Machado, DW Franks, JA Walker Abstract More info TBA Link

< Back The Basic Needs in Games (BANG) Model of Video Game Play and Mental Health Link Author(s) N Ballou, S Deterding Abstract More info TBA Link