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20182023
most citedLevel Generation Through Large Language Models

83 citations · 227 across the 21 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.NE2019

Bootstrapping Conditional GANs for Video Game Level Generation

Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green +3

Generative Adversarial Networks (GANs) have shown im-pressive results for image generation. However, GANs facechallenges in generating contents with certain types of con-straints,…

cs.AI2019

Automatic Critical Mechanic Discovery Using Playtraces in Video Games

Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros +2

We present a new method of automatic critical mechanic discovery for video games using a combination of game description parsing and playtrace information. This method is applied t…

cs.AI2019

General Video Game Rule Generation

Ahmed Khalifa, Michael Cerny Green, Diego Perez-Liebana +1

We introduce the General Video Game Rule Generation problem, and the eponymous software framework which will be used in a new track of the General Video Game AI (GVGAI) competition…

cs.HC2019

Organic Building Generation in Minecraft

Michael Cerny Green, Christoph Salge, Julian Togelius

This paper presents a method for generating floor plans for structures in Minecraft (Mojang 2009). Given a 3D space, it will auto-generate a building to fill that space using a com…

cs.AI2019

Two-step Constructive Approaches for Dungeon Generation

Michael Cerny Green, Ahmed Khalifa, Athoug Alsoughayer +3

This paper presents a two-step generative approach for creating dungeons in the rogue-like puzzle game MiniDungeons 2. Generation is split into two steps, initially producing the a…

cs.AI2019★ 7 cited

Generative Design in Minecraft: Chronicle Challenge

Christoph Salge, Christian Guckelsberger, Michael Cerny Green +2

We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft. One of the foci of the overall competition is adaptive procedural…