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2104.13424
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Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2021
27 April 2021
Nemanja Rakićević
Antoine Cully
Petar Kormushev
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Papers citing
"Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution"
24 / 24 papers shown
From Parameters to Behavior: Unsupervised Compression of the Policy Space
Davide Tenedini
Riccardo Zamboni
Mirco Mutti
Marcello Restelli
139
1
0
26 Sep 2025
Generative Design through Quality-Diversity Data Synthesis and Language Models
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2024
Adam Gaier
James Stoddart
Lorenzo Villaggi
Shyam Sudhakaran
238
8
0
16 May 2024
Density Descent for Diversity Optimization
David H. Lee
Anishalakshmi V. Palaparthi
Matthew C. Fontaine
Bryon Tjanaka
Stefanos Nikolaidis
170
2
0
18 Dec 2023
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax
Foundations of Genetic Algorithms (FOGA), 2023
Denis Antipov
Aneta Neumann
Frank Neumann
146
6
0
14 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
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Shashank Hegde
Sumeet Batra
K.R. Zentner
Gaurav Sukhatme
304
21
0
30 May 2023
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Adel Nikfarjam
Ralf Rothenberger
Frank Neumann
Tobias Friedrich
173
6
0
19 May 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
Evolving Populations of Diverse RL Agents with MAP-Elites
International Conference on Learning Representations (ICLR), 2023
Thomas Pierrot
Arthur Flajolet
286
11
0
09 Mar 2023
Evolutionary Reinforcement Learning: A Survey
Intelligent Computing (IC), 2023
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
460
77
0
07 Mar 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
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
203
28
0
24 Oct 2022
Analysis of Quality Diversity Algorithms for the Knapsack Problem
Parallel Problem Solving from Nature (PPSN), 2022
Adel Nikfarjam
A. Do
Frank Neumann
166
10
0
28 Jul 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning
European Conference on Computer Vision (ECCV), 2022
Xingjian Zhen
Zihang Meng
Rudrasis Chakraborty
Vikas Singh
OODD
311
39
0
20 Jul 2022
Deep Surrogate Assisted Generation of Environments
Neural Information Processing Systems (NeurIPS), 2022
Varun Bhatt
Bryon Tjanaka
Matthew C. Fontaine
Stefanos Nikolaidis
309
43
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
Evolutionary Diversity Optimisation for The Traveling Thief Problem
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2022
Adel Nikfarjam
Aneta Neumann
Frank Neumann
219
17
0
06 Apr 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
278
12
0
01 Mar 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
267
59
0
08 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
On the Use of Quality Diversity Algorithms for The Traveling Thief Problem
Adel Nikfarjam
Aneta Neumann
Frank Neumann
360
18
0
16 Dec 2021
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding
Yulun Zhang
Matthew C. Fontaine
Amy K. Hoover
Stefanos Nikolaidis
384
38
0
07 Dec 2021
Differentiable Quality Diversity
Neural Information Processing Systems (NeurIPS), 2021
Matthew C. Fontaine
Stefanos Nikolaidis
365
99
0
07 Jun 2021
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
Hongyao Tang
Zhaopeng Meng
Jianye Hao
Chong Chen
D. Graves
...
Hangyu Mao
Wulong Liu
Yaodong Yang
Wenyuan Tao
Li Wang
OffRL
260
7
0
19 Oct 2020
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