Sign inGet started
Paper · arXiv

AI for Games in the Foundation Model Era

Foundation models, alongside advances in learned game-world models, are reshaping AI across the game lifecycle. Beyond playing games, recent systems model players and game dynamics, support design and development, adapt player-facing experiences at runtime, and evaluate resulting artifacts. Yet these directions have evolved largely separately, obscuring which capabilities transfer across settings and which remain tied to particular games, engines, interfaces, or player populations. We organize the literature into six roles according to the immediate use of AI output: playing and acting; modeling players and games; designing games; building and maintaining games; generating and adapting at...

AuthorsMeng Luo, Yanlin Li, Hao Li et al.
Primary categorycs.AI
Published15 September 2026
Last updated at source15 September 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/d587c655-b58d-4ade-a670-295556f34894" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.