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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
Multi-Objective Quality Diversity Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Thomas Pierrot
Guillaume Richard
Karim Beguir
Antoine Cully
264
31
0
07 Feb 2022
COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions
Peter J Bentley
Soo Ling Lim
Adam Gaier
Linh-Tam Tran
138
10
0
04 Feb 2022
Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim
Maxime Allard
Luca Grillotti
Antoine Cully
294
19
0
02 Feb 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation
IEEE Robotics and Automation Letters (RA-L), 2022
Rituraj Kaushik
Karol Arndt
Ville Kyrki
189
12
0
27 Jan 2022
Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
A. Do
M. Guo
Aneta Neumann
Frank Neumann
148
6
0
25 Jan 2022
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
Evolutionary Computation (Evol. Comput.), 2021
Giuseppe Paolo
Alexandre Coninx
Alban Laflaquière
Stéphane Doncieux
162
6
0
02 Nov 2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Bryan Lim
Luca Grillotti
Lorenzo Bernasconi
Antoine Cully
179
28
0
16 Sep 2021
Few-shot Quality-Diversity Optimization
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
197
16
0
14 Sep 2021
Problem-solving benefits of down-sampled lexicase selection
Artificial Life (ALIFE), 2021
Thomas Helmuth
Lee Spector
119
32
0
10 Jun 2021
Unsupervised Behaviour Discovery with Quality-Diversity Optimisation
IEEE Transactions on Evolutionary Computation (TEVC), 2021
Luca Grillotti
Antoine Cully
363
43
0
10 Jun 2021
Differentiable Quality Diversity
Neural Information Processing Systems (NeurIPS), 2021
Matthew C. Fontaine
Stefanos Nikolaidis
373
99
0
07 Jun 2021
Exploring open-ended gameplay features with Micro RollerCoaster Tycoon
M. Green
Victoria Yen
Sam Earle
Dipika Rajesh
Maria Edwards
Lisa Soros
108
7
0
10 May 2021
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
International Conference on Bioinspired Optimization Methods and Their Applications (BIOMA), 2020
Alexander Hagg
Mike Preuss
A. Asteroth
Thomas Bäck
64
10
0
10 May 2021
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
L. Cazenille
184
11
0
03 May 2021
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Nemanja Rakićević
Antoine Cully
Petar Kormushev
134
37
0
27 Apr 2021
Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Konstantinos Sfikas
Antonios Liapis
Georgios N. Yannakakis
156
23
0
18 Apr 2021
Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms
International Conference on Artificial Neural Networks (ICANN), 2021
Alexandre Chenu
Nicolas Perrin-Gilbert
Stéphane Doncieux
Olivier Sigaud
130
1
0
10 Apr 2021
BR-NS: an Archive-less Approach to Novelty Search
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
167
7
0
08 Apr 2021
Analysis of Evolutionary Diversity Optimisation for Permutation Problems
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2021
A. Do
Mingyu Guo
Aneta Neumann
Frank Neumann
188
19
0
23 Feb 2021
Sparse Reward Exploration via Novelty Search and Emitters
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
Giuseppe Paolo
Alexandre Coninx
Stéphane Doncieux
Alban Laflaquière
206
19
0
05 Feb 2021
Evolving the Behavior of Machines: From Micro to Macroevolution
iScience (iScience), 2020
Jean-Baptiste Mouret
AI4CE
151
15
0
21 Dec 2020
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
144
0
0
15 Dec 2020
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics
Jørgen Nordmoen
Frank Veenstra
K. Ellefsen
K. Glette
135
39
0
08 Dec 2020
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis
Antoine Cully
Vassilis Vassiliades
Jean-Baptiste Mouret
320
112
0
08 Dec 2020
Qualities, challenges and future of genetic algorithms: a literature review
A. Vié
Alissa M. Kleinnijenhuis
Doyne, J Farmer
AI4CE
220
27
0
05 Nov 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Tanmay Gangwani
Jian Peng
Yuanshuo Zhou
180
12
0
05 Nov 2020
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations
Szymon Brych
Antoine Cully
202
4
0
17 Sep 2020
Model-Based Quality-Diversity Search for Efficient Robot Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Leon Keller
Daniel Tanneberg
Svenja Stark
Jan Peters
187
24
0
11 Aug 2020
Quality and Diversity in Evolutionary Modular Robotics
Jørgen Nordmoen
Frank Veenstra
K. Ellefsen
K. Glette
95
11
0
05 Aug 2020
A Development Cycle for Automated Self-Exploration of Robot Behaviors
AI Perspectives (AP), 2020
T. Roehr
Daniel Harnack
Hendrik Wöhrle
Felix Wiebe
M. Schilling
Oscar Lima
M. Langosz
Shivesh Kumar
S. Straube
Frank Kirchner
194
2
0
29 Jul 2020
A Framework for Automatic Behavior Generation in Multi-Function Swarms
Frontiers in Robotics and AI (Front. Robot. AI), 2020
Sondre A. Engebråten
Jonas Moen
O. Yakimenko
K. Glette
138
7
0
11 Jul 2020
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Antoine Cully
175
25
0
10 Jul 2020
Fast and stable MAP-Elites in noisy domains using deep grids
Manon Flageat
Antoine Cully
205
37
0
25 Jun 2020
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
Thomas Pierrot
Valentin Macé
Félix Chalumeau
Arthur Flajolet
Geoffrey Cideron
Karim Beguir
Antoine Cully
Olivier Sigaud
Nicolas Perrin-Gilbert
322
74
0
15 Jun 2020
Learning Diverse Representations for Fast Adaptation to Distribution Shift
Daniel Pace
A. Russo
Murray Shanahan
OOD
150
2
0
12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL
Cédric Colas
Ahmed Akakzia
Pierre-Yves Oudeyer
Mohamed Chetouani
Olivier Sigaud
LM&Ro
199
20
0
12 Jun 2020
Novelty Search makes Evolvability Inevitable
Stéphane Doncieux
Giuseppe Paolo
Alban Laflaquière
Alexandre Coninx
166
27
0
13 May 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Stéphane Doncieux
Nicolas Bredèche
L. L. Goff
Benoît Girard
Alexandre Coninx
...
Natalia Díaz Rodríguez
David Filliat
Timothy M. Hospedales
A. E. Eiben
Richard J. Duro
199
19
0
13 May 2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning
International Conference on Artificial Neural Networks (ICANN), 2020
Guillaume Matheron
Nicolas Perrin
Olivier Sigaud
150
19
0
24 Apr 2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Rituraj Kaushik
Timothée Anne
Jean-Baptiste Mouret
213
58
0
10 Mar 2020
Quality Diversity for Multi-task Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Jean-Baptiste Mouret
Glenn Maguire
144
65
0
09 Mar 2020
QED: using Quality-Environment-Diversity to evolve resilient robot swarms
IEEE Transactions on Evolutionary Computation (TEVC), 2020
David M. Bossens
Danesh Tarapore
106
22
0
04 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
259
94
0
03 Mar 2020
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2019
Matthew C. Fontaine
Julian Togelius
Stefanos Nikolaidis
Amy K. Hoover
373
151
0
05 Dec 2019
Learning Neural Search Policies for Classical Planning
International Conference on Automated Planning and Scheduling (ICAPS), 2019
Pawel Gomoluch
Dalal Alrajeh
A. Russo
A. Bucchiarone
115
11
0
27 Nov 2019
Unsupervised Learning and Exploration of Reachable Outcome Space
IEEE International Conference on Robotics and Automation (ICRA), 2019
Giuseppe Paolo
Alban Laflaquière
Alexandre Coninx
Stéphane Doncieux
221
44
0
12 Sep 2019
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2019
L. Cazenille
76
2
0
23 Jul 2019
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
L. Cazenille
Nicolas Bredèche
J. Halloy
70
9
0
22 Jul 2019
Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics
Frontiers in Robotics and AI (Front. Robot. AI), 2019
Rituraj Kaushik
P. Desreumaux
Jean-Baptiste Mouret
OffRL
187
35
0
16 Jul 2019
Modeling User Selection in Quality Diversity
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2019
Alexander Hagg
A. Asteroth
Thomas Bäck
111
10
0
16 Jul 2019
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