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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 2021Show all

5 papers · 1 filter

cs.OH2021

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft

Christoph Salge, Claus Aranha, Adrian Brightmoore +15

The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper cont…

cs.LG2021★ 13 cited

Physics-informed attention-based neural network for solving non-linear partial differential equations

Ruben Rodriguez-Torrado, Pablo Ruiz, Luis Cueto-Felgueroso +4

Physics-Informed Neural Networks (PINNs) have enabled significant improvements in modelling physical processes described by partial differential equations (PDEs). PINNs are based o…

cs.AI2021★ 2 cited

Exploring open-ended gameplay features with Micro RollerCoaster Tycoon

Michael Cerny Green, Victoria Yen, Sam Earle +3

This paper introduces MicroRCT, a novel open source simulator inspired by the theme park sandbox game RollerCoaster Tycoon. The goal in MicroRCT is to place rides and shops in an a…

cs.AI2021

The AI Settlement Generation Challenge in Minecraft: First Year Report

Christoph Salge, Michael Cerny Green, Rodrigo Canaan +6

This article outlines what we learned from the first year of the AI Settlement Generation Competition in Minecraft, a competition about producing AI programs that can generate inte…

cs.AI2021

Game Mechanic Alignment Theory and Discovery

Michael Cerny Green, Ahmed Khalifa, Philip Bontrager +2

We present a new concept called Game Mechanic Alignment theory as a way to organize game mechanics through the lens of systemic rewards and agential motivations. By disentangling p…