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Interactive Evolution and Exploration Within Latent Level-Design Space
  of Generative Adversarial Networks

Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks

31 March 2020
Jacob Schrum
Jake Gutierrez
Vanessa Volz
Jialin Liu
Simon Lucas
S. Risi
    GAN
ArXivPDFHTML

Papers citing "Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks"

7 / 7 papers shown
Title
Measuring Diversity of Game Scenarios
Measuring Diversity of Game Scenarios
Yuchen Li
Ziqi Wang
Qingquan Zhang
Jialin Liu
J. Liu
63
2
0
17 Jan 2025
Level Generation Through Large Language Models
Level Generation Through Large Language Models
Graham Todd
Sam Earle
Muhammad Umair Nasir
M. Green
Julian Togelius
11
73
0
11 Feb 2023
EvoRobogami: Co-designing with Humans in Evolutionary Robotics
  Experiments
EvoRobogami: Co-designing with Humans in Evolutionary Robotics Experiments
Zonghao Huang
Quinn Wu
David Howard
Cynthia Sung
17
2
0
17 May 2022
Minimal Neural Network Models for Permutation Invariant Agents
Minimal Neural Network Models for Permutation Invariant Agents
J. Pedersen
S. Risi
43
3
0
12 May 2022
Dungeon and Platformer Level Blending and Generation using Conditional
  VAEs
Dungeon and Platformer Level Blending and Generation using Conditional VAEs
Anurag Sarkar
Seth Cooper
DiffM
16
14
0
17 Jun 2021
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications
  to Super Mario Bros
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros
Tianye Shu
Ziqi Wang
Jialin Liu
Xin Yao
20
12
0
13 May 2020
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
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
230
0
02 May 2018
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