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2003.01825
Cited By
Scaling MAP-Elites to Deep Neuroevolution
3 March 2020
Cédric Colas
Joost Huizinga
Vashisht Madhavan
Jeff Clune
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Papers citing
"Scaling MAP-Elites to Deep Neuroevolution"
22 / 22 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
55
0
0
10 Feb 2025
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
23
21
0
07 Aug 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman
Bibek Poudel
Taylor Michael Villarreal
Xiaofei Zhang
Weizi Li
33
6
0
14 Apr 2023
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
34
12
0
27 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
T. Kanazawa
Chetan Gupta
26
0
0
15 Mar 2023
Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas Pierrot
Arthur Flajolet
30
8
0
09 Mar 2023
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
Manon Flageat
Antoine Cully
11
15
0
01 Feb 2023
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
23
4
0
22 Nov 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat
Félix Chalumeau
Antoine Cully
25
26
0
24 Oct 2022
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
26
21
0
06 Oct 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Aniruddha Kalkar
Stefanos Nikolaidis
60
8
0
06 Oct 2022
Quality Diversity Evolutionary Learning of Decision Trees
Andrea Ferigo
Leonardo Lucio Custode
Giovanni Iacca
26
12
0
17 Aug 2022
Fast Population-Based Reinforcement Learning on a Single Machine
Arthur Flajolet
Claire Bizon Monroc
Karim Beguir
Thomas Pierrot
OffRL
22
10
0
17 Jun 2022
Deep Surrogate Assisted Generation of Environments
Varun Bhatt
Bryon Tjanaka
Matthew C. Fontaine
Stefanos Nikolaidis
48
35
0
09 Jun 2022
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine
Stefanos Nikolaidis
45
25
0
22 May 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
Bryon Tjanaka
Matthew C. Fontaine
Julian Togelius
Stefanos Nikolaidis
30
50
0
08 Feb 2022
Few-shot Quality-Diversity Optimization
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
19
14
0
14 Sep 2021
Illuminating Diverse Neural Cellular Automata for Level Generation
Sam Earle
J. Snider
Matthew C. Fontaine
Stefanos Nikolaidis
Julian Togelius
40
37
0
12 Sep 2021
Differentiable Quality Diversity
Matthew C. Fontaine
Stefanos Nikolaidis
42
89
0
07 Jun 2021
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
Jian Cheng Wong
Abhishek Gupta
Yew-Soon Ong
28
21
0
06 Jan 2021
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
27
0
0
15 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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