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2003.01825
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Scaling MAP-Elites to Deep Neuroevolution
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2020
3 March 2020
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
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Papers citing
"Scaling MAP-Elites to Deep Neuroevolution"
50 / 53 papers shown
Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata
Sina Khajehabdollahi
Gautier Hamon
Marko Cvjetko
Pierre-Yves Oudeyer
Clément Moulin-Frier
Cédric Colas
173
1
0
04 Sep 2025
Convergent Functions, Divergent Forms
Hyeonseong Jeon
Ainaz Eftekhar
Aaron Walsman
Kuo-Hao Zeng
Ali Farhadi
Ranjay Krishna
249
3
0
27 May 2025
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Manon Flageat
J. Huber
François Hélénon
Stéphane Doncieux
Antoine Cully
357
2
0
10 Feb 2025
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Konstantinos Mitsides
Maxence Faldor
Antoine Cully
239
1
0
30 Jan 2025
Quality-Diversity with Limited Resources
Ren-Jian Wang
Ke Xue
Cong Guan
Chao Qian
317
4
0
06 Jun 2024
Quality with Just Enough Diversity in Evolutionary Policy Search
Paul Templier
Luca Grillotti
Emmanuel Rachelson
Dennis G. Wilson
Antoine Cully
243
4
0
07 May 2024
Large Language Models as In-context AI Generators for Quality-Diversity
Bryan Lim
Manon Flageat
Antoine Cully
424
6
0
24 Apr 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
International Conference on Machine Learning (ICML), 2024
Luca Grillotti
Maxence Faldor
Borja G. León
Antoine Cully
501
12
0
15 Mar 2024
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Chao Qian
Ke Xue
Ren-Jian Wang
405
18
0
19 Jan 2024
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
380
7
0
10 Dec 2023
Mix-ME: Quality-Diversity for Multi-Agent Learning
Gardhar Ingvarsson
Mikayel Samvelyan
Bryan Lim
Manon Flageat
Antoine Cully
Tim Rocktaschel
281
3
0
03 Nov 2023
Diversity from Human Feedback
Ren-Jian Wang
Ke Xue
Yutong Wang
Peng Yang
Haobo Fu
Qiang Fu
Chao Qian
445
4
0
10 Oct 2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
Journal of machine learning research (JMLR), 2023
Félix Chalumeau
Bryan Lim
Raphael Boige
Maxime Allard
Luca Grillotti
Manon Flageat
Valentin Macé
Arthur Flajolet
Thomas Pierrot
Antoine Cully
294
30
0
07 Aug 2023
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Sumeet Batra
Bryon Tjanaka
Matthew C. Fontaine
Aleksei Petrenko
Stefanos Nikolaidis
Gaurav Sukhatme
OffRL
388
26
0
23 May 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
300
9
0
14 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
404
9
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
505
15
0
27 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
International Conference on Artificial Neural Networks (ICANN), 2023
T. Kanazawa
Chetan Gupta
339
0
0
15 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
257
11
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
332
4
0
10 Mar 2023
Evolving Populations of Diverse RL Agents with MAP-Elites
International Conference on Learning Representations (ICLR), 2023
Thomas Pierrot
Arthur Flajolet
336
11
0
09 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
321
25
0
07 Mar 2023
Evolutionary Reinforcement Learning: A Survey
Intelligent Computing (IC), 2023
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
525
91
0
07 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
337
53
0
01 Mar 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
437
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
459
9
0
24 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
249
7
0
22 Nov 2022
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
Manon Flageat
Bryan Lim
Luca Grillotti
Maxime Allard
Simón C. Smith
Antoine Cully
241
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
229
29
0
24 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
447
32
0
06 Oct 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
IEEE Robotics and Automation Letters (RA-L), 2022
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Aniruddha Kalkar
Stefanos Nikolaidis
478
16
0
06 Oct 2022
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution
International Joint Conference on Computational Intelligence (IJCCI), 2022
Eyal Segal
Moshe Sipper
156
2
0
08 Sep 2022
Quality Diversity Evolutionary Learning of Decision Trees
ACM Symposium on Applied Computing (SAC), 2022
Andrea Ferigo
Leonardo Lucio Custode
Giovanni Iacca
278
15
0
17 Aug 2022
Fast Population-Based Reinforcement Learning on a Single Machine
International Conference on Machine Learning (ICML), 2022
Arthur Flajolet
Claire Bizon Monroc
Karim Beguir
Thomas Pierrot
OffRL
214
11
0
17 Jun 2022
Deep Surrogate Assisted Generation of Environments
Neural Information Processing Systems (NeurIPS), 2022
Varun Bhatt
Bryon Tjanaka
Matthew C. Fontaine
Stefanos Nikolaidis
406
49
0
09 Jun 2022
Covariance Matrix Adaptation MAP-Annealing
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Matthew C. Fontaine
Stefanos Nikolaidis
564
39
0
22 May 2022
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms
Achkan Salehi
Stéphane Doncieux
OffRL
205
3
0
06 May 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
177
9
0
07 Apr 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Bryon Tjanaka
Matthew C. Fontaine
Julian Togelius
Stefanos Nikolaidis
319
61
0
08 Feb 2022
Multi-Objective Quality Diversity Optimization
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Thomas Pierrot
Guillaume Richard
Karim Beguir
Antoine Cully
334
35
0
07 Feb 2022
Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim
Maxime Allard
Luca Grillotti
Antoine Cully
375
20
0
02 Feb 2022
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding
Yulun Zhang
Matthew C. Fontaine
Amy K. Hoover
Stefanos Nikolaidis
460
40
0
07 Dec 2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Bryan Lim
Luca Grillotti
Lorenzo Bernasconi
Antoine Cully
224
28
0
16 Sep 2021
Few-shot Quality-Diversity Optimization
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
335
17
0
14 Sep 2021
Illuminating Diverse Neural Cellular Automata for Level Generation
Sam Earle
J. Snider
Matthew C. Fontaine
Stefanos Nikolaidis
Julian Togelius
413
47
0
12 Sep 2021
Differentiable Quality Diversity
Neural Information Processing Systems (NeurIPS), 2021
Matthew C. Fontaine
Stefanos Nikolaidis
442
107
0
07 Jun 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
179
40
0
27 Apr 2021
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
IEEE Computational Intelligence Magazine (IEEE CIM), 2021
Jian Cheng Wong
Abhishek Gupta
Yew-Soon Ong
202
30
0
06 Jan 2021
Evolving the Behavior of Machines: From Micro to Macroevolution
iScience (iScience), 2020
Jean-Baptiste Mouret
AI4CE
204
15
0
21 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Journal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
963
127
0
17 Dec 2020
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