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2204.06934
Cited By
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
14 April 2022
Michael Beukman
C. Cleghorn
Steven D. James
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Papers citing
"Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels"
8 / 8 papers shown
Title
The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
Ahmed Khalifa
Roberto Gallotta
M. Barthet
Antonios Liapis
Julian Togelius
Georgios N. Yannakakis
56
0
0
27 Mar 2025
Measuring Diversity of Game Scenarios
Yuchen Li
Ziqi Wang
Qingquan Zhang
Jialin Liu
J. Liu
63
2
0
17 Jan 2025
Quantum Wave Function Collapse for Procedural Content Generation
R. Heese
6
2
0
21 Dec 2023
Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games
Sam Earle
M. Charity
Dipika Rajesh
Mayu Wilson
Julian Togelius
8
1
0
04 Dec 2023
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
Shyam Sudhakaran
Miguel González Duque
Claire Glanois
Matthias Anton Freiberger
Elias Najarro
S. Risi
VLM
18
54
0
12 Feb 2023
Hierarchically Composing Level Generators for the Creation of Complex Structures
Michael Beukman
Manuel A. Fokam
Marcel Kruger
Guy Axelrod
Muhammad Umair Nasir
Branden Ingram
Benjamin Rosman
Steven D. James
12
9
0
03 Feb 2023
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes
Yahia A. Zakaria
M. Fayek
M. Hadhoud
11
2
0
29 Sep 2022
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
229
0
02 May 2018
1