ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
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
v1v2v3 (latest)

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

11 September 2023
Loïc Brevault
M. Balesdent
ArXiv (abs)PDFHTML

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

1 / 1 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
190
0
0
10 May 2025
1