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Relevance-guided Unsupervised Discovery of Abilities with
  Quality-Diversity Algorithms

Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms

21 April 2022
Luca Grillotti
Antoine Cully
ArXivPDFHTML

Papers citing "Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms"

8 / 8 papers shown
Title
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
Lisa Coiffard
Paul Templier
Antoine Cully
OffRL
49
0
0
02 Apr 2025
Quality Diversity through Human Feedback: Towards Open-Ended
  Diversity-Driven Optimization
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Lijie Ding
Jenny Zhang
Jeff Clune
Lee Spector
Joel Lehman
EGVM
37
7
0
18 Oct 2023
Neuroevolution is a Competitive Alternative to Reinforcement Learning
  for Skill Discovery
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Félix Chalumeau
Raphael Boige
Bryan Lim
Valentin Macé
Maxime Allard
Arthur Flajolet
Antoine Cully
Thomas Pierrot
26
21
0
06 Oct 2022
Covariance Matrix Adaptation MAP-Annealing
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine
Stefanos Nikolaidis
48
25
0
22 May 2022
Ensemble Feature Extraction for Multi-Container Quality-Diversity
  Algorithms
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms
L. Cazenille
19
9
0
03 May 2021
Sparse Reward Exploration via Novelty Search and Emitters
Sparse Reward Exploration via Novelty Search and Emitters
Giuseppe Paolo
Alexandre Coninx
Stéphane Doncieux
Alban Laflaquière
45
19
0
05 Feb 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
Interactive Constrained MAP-Elites: Analysis and Evaluation of the
  Expressiveness of the Feature Dimensions
Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions
Alberto Alvarez
S. Dahlskog
J. Font
Julian Togelius
67
31
0
06 Mar 2020
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