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Improving the Data Efficiency of Multi-Objective Quality-Diversity
  through Gradient Assistance and Crowding Exploration
v1v2 (latest)

Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration

Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
24 February 2023
Hannah Janmohamed
Thomas Pierrot
Antoine Cully
ArXiv (abs)PDFHTML

Papers citing "Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration"

2 / 2 papers shown
Title
Multi-Objective Covariance Matrix Adaptation MAP-Annealing
Multi-Objective Covariance Matrix Adaptation MAP-AnnealingAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Shihan Zhao
Stefanos Nikolaidis
274
0
0
27 May 2025
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity
Exploring the Performance-Reproducibility Trade-off in Quality-DiversityIEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2024
Flageat Manon
Janmohamed Hannah
Lim Bryan
Cully Antoine
293
4
0
20 Sep 2024
1