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Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain
  Domains

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

24 October 2022
Manon Flageat
Félix Chalumeau
Antoine Cully
ArXivPDFHTML

Papers citing "Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains"

21 / 21 papers shown
Title
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
Manon Flageat
J. Huber
François Hélénon
Stéphane Doncieux
Antoine Cully
48
0
0
10 Feb 2025
Preference-Conditioned Gradient Variations for Multi-Objective
  Quality-Diversity
Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity
Hannah Janmohamed
Maxence Faldor
Thomas Pierrot
Antoine Cully
64
1
0
19 Nov 2024
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity
Flageat Manon
Janmohamed Hannah
Lim Bryan
Cully Antoine
34
2
0
20 Sep 2024
Quality Diversity for Robot Learning: Limitations and Future Directions
Quality Diversity for Robot Learning: Limitations and Future Directions
S. Batra
Bryon Tjanaka
S. Nikolaidis
Gaurav Sukhatme
42
0
0
09 Jul 2024
Quality-Diversity with Limited Resources
Quality-Diversity with Limited Resources
Ren-Jian Wang
Ke Xue
Cong Guan
Chao Qian
21
2
0
06 Jun 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A
  Comprehensive Survey on Hybrid Algorithms
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
Pengyi Li
Jianye Hao
Hongyao Tang
Xian Fu
Yan Zheng
Ke Tang
29
9
0
22 Jan 2024
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement
  Learning
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
24
2
0
10 Dec 2023
QDax: A Library for Quality-Diversity and Population-based Algorithms
  with Hardware Acceleration
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
Félix Chalumeau
Bryan Lim
Raphael Boige
Maxime Allard
Luca Grillotti
Manon Flageat
Valentin Macé
Arthur Flajolet
Thomas Pierrot
Antoine Cully
21
21
0
07 Aug 2023
Proximal Policy Gradient Arborescence for Quality Diversity
  Reinforcement Learning
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
S. Batra
Bryon Tjanaka
Matthew C. Fontaine
Aleksei Petrenko
S. Nikolaidis
Gaurav Sukhatme
OffRL
45
12
0
23 May 2023
Benchmark tasks for Quality-Diversity applied to Uncertain domains
Benchmark tasks for Quality-Diversity applied to Uncertain domains
Manon Flageat
Luca Grillotti
Antoine Cully
20
2
0
24 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
20
6
0
14 Apr 2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of
  Quality-Diversity Solutions in Uncertain Domains
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains
Luca Grillotti
Manon Flageat
Bryan Lim
Antoine Cully
29
8
0
07 Apr 2023
The Quality-Diversity Transformer: Generating Behavior-Conditioned
  Trajectories with Decision Transformers
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
Valentin Macé
Raphael Boige
Félix Chalumeau
Thomas Pierrot
Guillaume Richard
Nicolas Perrin-Gilbert
OffRL
24
12
0
27 Mar 2023
Understanding the Synergies between Quality-Diversity and Deep
  Reinforcement Learning
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
Bryan Lim
Manon Flageat
Antoine Cully
OnRL
17
7
0
10 Mar 2023
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Manon Flageat
Bryan Lim
Antoine Cully
11
2
0
10 Mar 2023
MAP-Elites with Descriptor-Conditioned Gradients and Archive
  Distillation into a Single Policy
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy
Maxence Faldor
Félix Chalumeau
Manon Flageat
Antoine Cully
27
18
0
07 Mar 2023
Improving the Data Efficiency of Multi-Objective Quality-Diversity
  through Gradient Assistance and Crowding Exploration
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Hannah Janmohamed
Thomas Pierrot
Antoine Cully
13
4
0
24 Feb 2023
Uncertain Quality-Diversity: Evaluation methodology and new methods for
  Quality-Diversity in Uncertain Domains
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
Manon Flageat
Antoine Cully
11
15
0
01 Feb 2023
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in
  Hard Exploration Problems
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
17
6
0
24 Nov 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance
  Matrix Adaptation MAP-Annealing
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Aniruddha Kalkar
S. Nikolaidis
38
7
0
06 Oct 2022
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
61
91
0
08 Dec 2020
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