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< Back Generative design in Minecraft: Chronicle challenge Link Author(s) C Salge, C Guckelsberger, MC Green, R Canaan, J Togelius Abstract More info TBA Link

< Back VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts Link Author(s) M Captari, R Sasso, M Sabatelli Abstract More info TBA Link

< Back Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Link Author(s) R Sasso, M Sabatelli, MA Wiering Abstract More info TBA Link

< Back Dr Oliver Scholten University of York iGGi Alum Oliver Scholten is working on understanding the use of cryptocurrency technologies for gambling and gaming. His work provides researchers with the tools and context needed to understand player behaviours in these technologically advanced domains. He is the creator of gamba - a python library designed to enable quick replication of existing player behaviour tracking studies. He has also published several peer reviewed articles, and had written evidence published by the UK House of Lords which describes the mechanics behind decentralised gambling applications. As a PhD student, his thesis focuses on decoding and analysing cryptocurrency gambling and cryptocurrency gaming transactions. These transactions offer a more granular insight for researchers into both gambling and gaming than has been historically possible, this work therefore lays the foundations for explorations across different schools of research, and more specifically, advanced player transaction analytics. Please note: Updating of profile text in progress oliver@gamba.dev Email Mastodon https://www.ojscholten.com Other links Website https://www.linkedin.com/in/ojscholten LinkedIn BlueSky https://github.com/ojscholten Github Featured Publication(s): On the Evaluation of Procedural Level Generation Systems On the Behavioural Profiling of Gamblers Using Cryptocurrency Transaction Data Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions Decentralised Gambling Overview Decentralised Gambling: The York Combined Transaction Set Unconventional Exchange: Methods for Statistical Analysis of Virtual Goods Utilising VIPER for Parameter Space Exploration in Agent Based Wealth Distribution Models Ethereum Crypto-Games: Mechanics, Prevalence, and Gambling Similarities Themes Game Data - Previous Next

< Back Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games Link Author(s) S Berns, V Volz, L Tokarchuk, S Snodgrass, C Guckelsberger Abstract More info TBA Link

< Back iGGi @ Develop:Brighton 2024 Develop:Brighton 2024 Talks: iGGi featured with iGGi PG Researcher Dominik Jeurissen and his talk on " LLM Agents For QA - Potential & Limitations ". Please see our related article for further detail. iGGi @ Develop Expo: For the 3rd year running, the iGGi stand was present again on the Expo floor of the 2024 Develop:Brighton conference ! The Expo always takes place on Days 2+3 of the conference and is a popular networking platform for the game dev community. Attendees could drop by the iGGi stand to speak to one or more of the 25 iGGi PG Researchers and staff who came to Develop this year. As in previous years, iGGi was promoting the intersection between games industry and research and fostering collaboration links through knowledge exchanges that are mutually beneficial to both sides. Displays at the iGGi Stand: PG Researcher displays this year included Michael John Saiger 's Teach Quest (a serious game designed for teacher recruitment), Alan Pedrassoli Chitayat 's Win Condition (an ML-powered tool for professional esport broadcasters), Sarah Master 's Moth Magic (a "tiny retro pixel art game" with green development goals), Dominik Jeurissen 's NetPlay (the first LLM-powered zero-shot agent for the challenging roguelike NetHack), Alan Wallat's War of the Toads (a card game used by James Goodman in his research), and Nirit Binyamini Ben Meir 's and Erin Robinson 's Moss Project (an immersive art installation focused on creative plant-human interaction; see image below). Several senior iGGi PG Researchers and Alumni hosted their own session/event (or with their company) at/around Develop, e.g., Gorm Lai, Charline Foch, Tom Cole, Jozef Kulik - a warm thank you to all of them for keeping us in the loop about their work and particularly for supporting junior iGGis. iGGi Con 2024 + Expo: We also advertised our upcoming iGGi Conference 2024 (and Expo) which showcases our recent research as well as offering a valuable opportunity for dialogue between academia and industry. If you want take part in the iGGi Expo as an exhibitor, or to learn more about existing pathways of knowledge exchange between iGGi and games companies or other research organisations, you can check out our Industry Info + KE page , but we are also always open for new ideas and formats. Please do get in touch if you require any further information. iGGi Partners during Develop: A massive big THANKS from all of iGGi to the various iGGi Partners who either ran satellite events, came over to our stand, invited us to events, and/or showed their support in other ways. This includes Player Research (who hosted iGGi at their office and who also organised a fabulously informative Game Accessibility Gathering with/at Unity Technologies), Splash Damage, Safe In Our World, Women In Games, Game Republic, BiG, Square Enix, Keywords Studios, Meaning Machine, #RaiseTheGame /Ukie, and AI and Games/Tommy Thompson, all of which contributed greatly to the "Develop networking magic" by connecting us to relevant contacts and by spreading the word about iGGi. We are especially happy that Game Republic won the Develop Star Award for "Supporting Star" and Meaning Machine secured the People's Choice Award in the Indie Showcase with their game Dead Meat !! Both well deserved! Big CONGRATS from iGGi. Lastly, a sincere THANK YOU to the Develop organisers who make it happen every year and are doing such an amazing job at it. We can't wait to see everyone back together in 2025!! Previous 12 Jul 2024 Next

< Back IoT and Machine Learning for Next Generation Traffic Systems Link Author(s) S Howell, S Cole, T Broad, T Maatta Abstract More info TBA Link

< Back Dr Martin Balla Queen Mary University of London iGGi Alum Available for post-PhD position Before starting his PhD Martin studied Computer Science at the University of Essex. His main interest is artificial intelligence and its application to all sort of problems ranging from computer vision to game AI. He likes spending his spare time with various activities which mainly involves reading, playing video games and skateboarding. Martin's PhD thesis focuses on Reinforcement Learning agents that can adapt to changes in the reward function and/or changes in the environment. His work investigates how agents can transfer their knowledge to changes in the environment, such as new rewards, levels or visuals. Outside of his main research direction, Martin is involved with the Tabletop games framework (TAG), which is a collection of various tabletop games implemented with a common API with a focus on various game-playing agents (including RL). TAG brings various challenges to RL agents compared to search-based agents, such as complex action spaces, unique observation spaces (various embeddings), multi-agent dynamics with competitive and collaborative aspects, and lots of hidden information and stochasticity. m.balla@qmul.ac.uk Email Mastodon Other links Website https://www.linkedin.com/in/martinballa LinkedIn BlueSky https://martinballa.github.io Github Supervisors: Dr Diego Pérez-Liébana Prof. Simon Lucas Featured Publication(s): PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Illuminating Game Space Using MAP-Elites for Assisting Video Game Design PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games TAG: Pandemic Competition Task Relabelling for Multi-task Transfer using Successor Features TAG: A tabletop games framework Design and implementation of TAG: a tabletop games framework Evaluating generalisation in general video game playing Evaluating Generalization in General Video Game Playing Analysis of statistical forward planning methods in Pommerman Themes Game AI - Previous Next

< Back A comparison of the effects of haptic and visual feedback on presence in virtual reality Link Author(s) JK Gibbs, M Gillies, X Pan Abstract More info TBA Link

< Back UK Games Expo Birmingham With its focus (almost entirely) on board games, the UK Games Expo wasn't exactly an obvious choice for running an iGGi stand. But due to the fact that a considerable proportion of iGGi PG Researchers has involvement with tabletop games through their research in some form or other, the suggestion had been made for a few years now, and finally, iGGi decided to test the waters. As an added encouragement, Tabletop R&D - an SME that sprung off from our very own Game AI Group at QMUL - had offered to share a stand space with us. We (i.e., the 8 iGGis who attended) were positively surprised on more than one level, namely by the size of the expo (4 large, hangar-like exhibition halls) the welcoming and friendly vibes from the community (and the fact that it felt like a community gathering rather than a trade fair) the quality of conversations we had at the stand, which also made our presence feel relevant the new connections we forged just the charm of the whole thing We're definitely all rooting for coming back next year! Previous 3 Jun 2025 Next

< Back Planning in GVGAI Link Author(s) DP Liebana, RD Gaina Abstract More info TBA Link

< Back From social media to artificial intelligence: improving research on digital harms in youth Link Author(s) KL Mansfield, S Ghai, T Hakman, N Ballou, M Vuorre, AK Przybylski Abstract More info TBA Link