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. 2310.05955
  4. Cited By
Bayesian Quality-Diversity approaches for constrained optimization
  problems with mixed continuous, discrete and categorical variables

Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables

11 September 2023
Loïc Brevault
M. Balesdent
ArXivPDFHTML

Papers citing "Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables"

3 / 3 papers shown
Title
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
Timothée Anne
Noah Syrkis
Meriem Elhosni
Florian Turati
Franck Legendre
Alain Jaquier
Sebastian Risi
26
0
0
10 May 2025
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone
  Deckbuilding
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding
Yulun Zhang
Matthew C. Fontaine
Amy K. Hoover
Stefanos Nikolaidis
84
32
0
07 Dec 2021
Quality-Diversity Optimization: a novel branch of stochastic
  optimization
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis
Antoine Cully
Vassilis Vassiliades
Jean-Baptiste Mouret
65
91
0
08 Dec 2020
1