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. 2106.05648
  4. Cited By
Unsupervised Behaviour Discovery with Quality-Diversity Optimisation

Unsupervised Behaviour Discovery with Quality-Diversity Optimisation

10 June 2021
Luca Grillotti
Antoine Cully
ArXivPDFHTML

Papers citing "Unsupervised Behaviour Discovery with Quality-Diversity Optimisation"

12 / 12 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
51
0
0
02 Apr 2025
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Maxence Faldor
Robert Tjarko Lange
Antoine Cully
81
0
0
04 Feb 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting
  Diversity
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales
Stefanos Nikolaidis
AI4CE
40
0
0
07 Nov 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
42
2
0
18 May 2024
Generative Design through Quality-Diversity Data Synthesis and Language
  Models
Generative Design through Quality-Diversity Data Synthesis and Language Models
Adam Gaier
James Stoddart
Lorenzo Villaggi
Shyam Sudhakaran
43
1
0
16 May 2024
Illuminating the property space in crystal structure prediction using
  Quality-Diversity algorithms
Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms
Marta Wolinska
Aron Walsh
Antoine Cully
43
1
0
06 Mar 2024
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
Quality-Diversity Optimisation on a Physical Robot Through
  Dynamics-Aware and Reset-Free Learning
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
Simón C. Smith
Bryan Lim
Hannah Janmohamed
Antoine Cully
30
0
0
24 Apr 2023
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
23
4
0
22 Nov 2022
Online Damage Recovery for Physical Robots with Hierarchical
  Quality-Diversity
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Bryan Lim
Antoine Cully
27
13
0
18 Oct 2022
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
28
21
0
06 Oct 2022
Hierarchical Quality-Diversity for Online Damage Recovery
Hierarchical Quality-Diversity for Online Damage Recovery
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Antoine Cully
25
12
0
12 Apr 2022
1