ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.05674
  4. Cited By
Illuminating Mario Scenes in the Latent Space of a Generative
  Adversarial Network

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

11 July 2020
Matthew C. Fontaine
Ruilin Liu
Ahmed Khalifa
Jignesh Modi
Julian Togelius
Amy K. Hoover
S. Nikolaidis
    GAN
ArXivPDFHTML

Papers citing "Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network"

4 / 4 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
Not All the Same: Understanding and Informing Similarity Estimation in
  Tile-Based Video Games
Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games
Sebastian Berns
Vanessa Volz
L. Tokarchuk
Sam Snodgrass
Christian Guckelsberger
31
1
0
28 Feb 2024
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on
  OneMinMax
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax
Denis Antipov
Aneta Neumann
Frank Neumann
21
6
0
14 Jul 2023
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
229
0
02 May 2018
1