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We Call This Controller Skip: AI for Speedrunning. In Experimental AI in Games (EXAG)

  • M Cook
  • , M Charity
  • , M Awiszus
  • , F Carnovalini
  • , Alexander Dockhorn*
  • *Corresponding author for this work
  • King's College London
  • University of Richmond
  • Viscom SE
  • Free University of Brussels

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Speedrunning, a community centred around the practice of playing games as fast as possible and often underconstraints, is a rich and vibrant part of modern games culture. It is also an area largely untouched by game AIresearch, despite it having its own culture of technical innovation and research. In this paper, we provide anoverview of modern speedrunning, describe research areas already pursued by the community, and report onexploratory work investigating how AI research might be applied to simple speedrunning processes. We close bysuggesting new research questions this space reveals for us, and suggesting ways that we can peacefully andrespectfully work alongside and as a part of the speedrunning community
Original languageEnglish
Title of host publicationEXAG-INT 2025 Experimental AI in Games and Intelligent Narrative Technologies 2025 : Proceedings of the Joint AIIDE Workshops on Experimental AI in Games and Intelligent Narrative Technologies (EXAG-INT 2025) co-located with the 21st AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2025)
Number of pages13
PublisherAAAI Press
Publication date12. Nov 2025
Publication statusPublished - 12. Nov 2025
EventAAAI Conference on Artificial Intelligence and Interactive Digital Entertainment - University of Alberta, Edmonton, Canada
Duration: 10. Nov 202514. Nov 2025

Conference

ConferenceAAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
LocationUniversity of Alberta
Country/TerritoryCanada
CityEdmonton
Period10/11/202514/11/2025
SeriesCEUR Workshop Proceedings
Volume4090
ISSN1613-0073

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