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1708.09251
Cited By
Quality and Diversity Optimization: A Unifying Modular Framework
12 May 2017
Antoine Cully
Y. Demiris
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Papers citing
"Quality and Diversity Optimization: A Unifying Modular Framework"
50 / 168 papers shown
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
I. Triguero
Daniel Molina
Javier Poyatos
Javier Del Ser
Francisco Herrera
AI4TS
AI4MH
427
6
0
26 Jul 2023
Generative Meta-Learning Robust Quality-Diversity Portfolio
K. Yuksel
65
2
0
15 Jul 2023
Many-objective Optimization via Voting for Elites
Jackson Dean
Nick Cheney
96
1
0
05 Jul 2023
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Bruno Gašperov
Marko Đurasević
122
0
0
16 Jun 2023
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Raphael Boige
Guillaume Richard
Jérémie Donà
Thomas Pierrot
Antoine Cully
294
9
0
08 Jun 2023
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Muhammad Umair Nasir
Sam Earle
C. Cleghorn
Steven D. James
Julian Togelius
1.2K
90
0
01 Jun 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
262
27
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
328
14
0
09 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Information Fusion (Inf. Fusion), 2023
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
339
455
0
02 May 2023
Benchmark tasks for Quality-Diversity applied to Uncertain domains
Manon Flageat
Luca Grillotti
Antoine Cully
258
3
0
24 Apr 2023
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
Simón C. Smith
Bryan Lim
Hannah Janmohamed
Antoine Cully
195
3
0
24 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
253
7
0
14 Apr 2023
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
R. T. Lange
Tom Schaul
Yutian Chen
Chris Xiaoxuan Lu
Tom Zahavy
Valentin Dalibard
Sebastian Flennerhag
277
39
0
08 Apr 2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Luca Grillotti
Manon Flageat
Bryan Lim
Antoine Cully
282
8
0
07 Apr 2023
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Valentin Macé
Raphael Boige
Félix Chalumeau
Thomas Pierrot
Guillaume Richard
Nicolas Perrin-Gilbert
OffRL
411
15
0
27 Mar 2023
Architext: Language-Driven Generative Architecture Design
Theodoros Galanos
Antonios Liapis
Georgios N. Yannakakis
VLM
AI4CE
291
7
0
13 Mar 2023
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Bryan Lim
Manon Flageat
Antoine Cully
OnRL
217
9
0
10 Mar 2023
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Manon Flageat
Bryan Lim
Antoine Cully
203
4
0
10 Mar 2023
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
242
25
0
07 Mar 2023
Ensemble Reinforcement Learning: A Survey
Applied Soft Computing (Appl. Soft Comput.), 2023
Yanjie Song
Ponnuthurai Nagaratnam Suganthan
Witold Pedrycz
Junwei Ou
Yongming He
Yihao Chen
Yutong Wu
OffRL
274
54
0
05 Mar 2023
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Yulun Zhang
Nivedit Reddy Balam
N. Dennler
Sujay S. Garlanka
Nikitas Dimitri Klapsis
Stefanos Nikolaidis
237
50
0
01 Mar 2023
Policy Dispersion in Non-Markovian Environment
B. Qu
Xiaofeng Cao
Jielong Yang
Hechang Chen
Chang Yi
Ivor W.Tsang
Yew-Soon Ong
173
0
0
28 Feb 2023
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Hannah Janmohamed
Thomas Pierrot
Antoine Cully
264
7
0
24 Feb 2023
Language Model Crossover: Variation through Few-Shot Prompting
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2023
Elliot Meyerson
M. Nelson
Herbie Bradley
Adam Gaier
Arash Moradi
Amy K. Hoover
Joel Lehman
VLM
464
124
0
23 Feb 2023
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
IEEE Transactions on Evolutionary Computation (IEEE TEVC), 2023
Manon Flageat
Antoine Cully
284
20
0
01 Feb 2023
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
Félix Chalumeau
Thomas Pierrot
Valentin Macé
Arthur Flajolet
Karim Beguir
Antoine Cully
Nicolas Perrin-Gilbert
279
9
0
24 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
183
7
0
22 Nov 2022
Discovering Unsupervised Behaviours from Full-State Trajectories
Luca Grillotti
Antoine Cully
239
2
0
22 Nov 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization
International Conference on Learning Representations (ICLR), 2022
R. T. Lange
Tom Schaul
Yutian Chen
Tom Zahavy
Valenti Dallibard
Chris Xiaoxuan Lu
Satinder Singh
Sebastian Flennerhag
335
55
0
21 Nov 2022
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
Manon Flageat
Bryan Lim
Luca Grillotti
Maxime Allard
Simón C. Smith
Antoine Cully
202
18
0
04 Nov 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Manon Flageat
Félix Chalumeau
Antoine Cully
200
28
0
24 Oct 2022
Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search
Elias Hanna
Alexandre Coninx
Stéphane Doncieux
OffRL
127
0
0
21 Oct 2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Bryan Lim
Antoine Cully
184
14
0
18 Oct 2022
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories
J. Huber
Oumar Sane
Alexandre Coninx
F. B. Amar
Stéphane Doncieux
196
1
0
14 Oct 2022
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
IEEE International Conference on Robotics and Automation (ICRA), 2022
Shikha Surana
Bryan Lim
Antoine Cully
303
4
0
10 Oct 2022
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
Neural Information Processing Systems (NeurIPS), 2022
Nathan Grinsztajn
Daniel Furelos-Blanco
Shikha Surana
Matthew Macfarlane
Thomas D. Barrett
262
50
0
07 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
International Conference on Learning Representations (ICLR), 2022
Félix Chalumeau
Raphael Boige
Bryan Lim
Valentin Macé
Maxime Allard
Arthur Flajolet
Antoine Cully
Thomas Pierrot
377
30
0
06 Oct 2022
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective
Parallel Problem Solving from Nature (PPSN), 2022
Adam Gaier
James Stoddart
Lorenzo Villaggi
Peter J Bentley
200
5
0
04 Jul 2022
Guided Safe Shooting: model based reinforcement learning with safety constraints
Giuseppe Paolo
Jonas Gonzalez-Billandon
Albert Thomas
Jun Yao
187
3
0
20 Jun 2022
Concept Identification for Complex Engineering Datasets
Advanced Engineering Informatics (AEI), 2022
Felix Lanfermann
S. Schmitt
23
7
0
09 Jun 2022
Covariance Matrix Adaptation MAP-Annealing
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Matthew C. Fontaine
Stefanos Nikolaidis
378
36
0
22 May 2022
Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search
IEEE International Conference on Robotics and Automation (ICRA), 2022
Aurélien Morel
Yakumo Kunimoto
Alexandre Coninx
Stéphane Doncieux
227
15
0
17 May 2022
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms
Achkan Salehi
Stéphane Doncieux
OffRL
149
3
0
06 May 2022
Geodesics, Non-linearities and the Archive of Novelty Search
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
135
2
0
06 May 2022
Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Luca Grillotti
Antoine Cully
212
12
0
21 Apr 2022
Hierarchical Quality-Diversity for Online Damage Recovery
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Antoine Cully
199
12
0
12 Apr 2022
Learning to Walk Autonomously via Reset-Free Quality-Diversity
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Bryan Lim
A. Reichenbach
Antoine Cully
129
9
0
07 Apr 2022
Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Diksha Goel
Max Hector Ward-Graham
Aneta Neumann
Frank Neumann
Hung Nguyen
Mingyu Guo
AAML
141
17
0
07 Apr 2022
Non-Elitist Selection Can Improve the Performance of Irace
Parallel Problem Solving from Nature (PPSN), 2022
Furong Ye
Diederick Vermetten
Carola Doerr
Thomas Bäck
122
1
0
17 Mar 2022
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
466
73
0
07 Feb 2022
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