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The CMA Evolution Strategy: A Tutorial
v1v2 (latest)

The CMA Evolution Strategy: A Tutorial

4 April 2016
N. Hansen
ArXiv (abs)PDFHTML

Papers citing "The CMA Evolution Strategy: A Tutorial"

27 / 377 papers shown
Title
Training Passive Photonic Reservoirs with Integrated Optical Readout
Training Passive Photonic Reservoirs with Integrated Optical Readout
Matthias Anton Freiberger
Andrew Katumba
P. Bienstman
J. Dambre
30
28
0
08 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Perttu Hämäläinen
Amin Babadi
Xiaoxiao Ma
J. Lehtinen
156
64
0
05 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy
  search
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
119
161
0
02 Oct 2018
Recurrent World Models Facilitate Policy Evolution
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDaTPM
180
959
0
04 Sep 2018
Machine Learning Attack and Defense on Voltage Over-scaling-based
  Lightweight Authentication
Machine Learning Attack and Defense on Voltage Over-scaling-based Lightweight Authentication
Jiliang Zhang
Haihan Su
AAML
13
1
0
20 Jul 2018
Guided evolutionary strategies: Augmenting random search with surrogate
  gradients
Guided evolutionary strategies: Augmenting random search with surrogate gradients
Niru Maheswaranathan
Luke Metz
George Tucker
Dami Choi
Jascha Narain Sohl-Dickstein
78
20
0
26 Jun 2018
Set-based Obfuscation for Strong PUFs against Machine Learning Attacks
Set-based Obfuscation for Strong PUFs against Machine Learning Attacks
Jiliang Zhang
Chaoqun Shen
AAML
8
84
0
06 Jun 2018
A parallel implementation of the covariance matrix adaptation evolution
  strategy
A parallel implementation of the covariance matrix adaptation evolution strategy
Najeeb Khan
20
3
0
28 May 2018
Maximizing acquisition functions for Bayesian optimization
Maximizing acquisition functions for Bayesian optimization
James T. Wilson
Frank Hutter
M. Deisenroth
159
250
0
25 May 2018
Neural Generative Models for Global Optimization with Gradients
Neural Generative Models for Global Optimization with Gradients
Louis Faury
Flavian Vasile
Clément Calauzènes
Olivier Fercoq
30
2
0
22 May 2018
OpenFPM: A scalable open framework for particle and particle-mesh codes
  on parallel computers
OpenFPM: A scalable open framework for particle and particle-mesh codes on parallel computers
Pietro Incardona
A. Leo
Yaroslav Zaluzhnyi
Rajesh Ramaswamy
I. Sbalzarini
AI4CE
18
58
0
20 Apr 2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal
Philemon Brakel
W. Fedus
Soumye Singhal
Timothy Lillicrap
Sergey Levine
Hugo Larochelle
Yoshua Bengio
OffRL
107
68
0
02 Apr 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
219
1,102
0
27 Mar 2018
Model-Based Stochastic Search for Large Scale Optimization of
  Multi-Agent UAV Swarms
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms
David D. Fan
Evangelos Theodorou
J. Reeder
55
14
0
03 Mar 2018
Verifying Controllers Against Adversarial Examples with Bayesian
  Optimization
Verifying Controllers Against Adversarial Examples with Bayesian Optimization
Shromona Ghosh
Felix Berkenkamp
G. Ranade
S. Qadeer
Ashish Kapoor
AAML
103
45
0
23 Feb 2018
Rover Descent: Learning to optimize by learning to navigate on
  prototypical loss surfaces
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces
Louis Faury
Flavian Vasile
39
2
0
22 Jan 2018
Data-driven Planning via Imitation Learning
Data-driven Planning via Imitation Learning
Sanjiban Choudhury
M. Bhardwaj
S. Arora
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
103
81
0
17 Nov 2017
Adaptive Generation-Based Evolution Control for Gaussian Process
  Surrogate Models
Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models
Jakub Repický
L. Bajer
Z. Pitra
M. Holeňa
20
1
0
29 Sep 2017
Deep Haptic Model Predictive Control for Robot-Assisted Dressing
Deep Haptic Model Predictive Control for Robot-Assisted Dressing
Zackory M. Erickson
Henry M. Clever
Greg Turk
Chenxi Liu
Charles C. Kemp
43
83
0
27 Sep 2017
Modeling Attack Resilient Reconfigurable Latent Obfuscation Technique
  for PUF based Lightweight Authentication
Modeling Attack Resilient Reconfigurable Latent Obfuscation Technique for PUF based Lightweight Authentication
Yansong Gao
S. Al-Sarawi
Derek Abbott
A. Sadeghi
Damith C. Ranasinghe
8
8
0
20 Jun 2017
An Adaptive Framework to Tune the Coordinate Systems in Evolutionary
  Algorithms
An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms
Zhi-Zhong Liu
Yong Wang
Shengxiang Yang
K. Tang
15
1
0
18 Mar 2017
Global optimization of Lipschitz functions
Global optimization of Lipschitz functions
C. Malherbe
Nicolas Vayatis
101
120
0
07 Mar 2017
Using CMA-ES for tuning coupled PID controllers within models of
  combustion engines
Using CMA-ES for tuning coupled PID controllers within models of combustion engines
Katerina Marova
27
3
0
21 Sep 2016
Feedback Motion Planning for Liquid Transfer using Supervised Learning
Feedback Motion Planning for Liquid Transfer using Supervised Learning
Zherong Pan
Tianyi Zhou
57
15
0
12 Sep 2016
Information Utilization Ratio in Heuristic Optimization Algorithms
Information Utilization Ratio in Heuristic Optimization Algorithms
Junzhi Li
Ying Tan
24
4
0
06 Apr 2016
A ranking approach to global optimization
A ranking approach to global optimization
C. Malherbe
Nicolas Vayatis
60
8
0
14 Mar 2016
Learning Alternative Name Spellings
Learning Alternative Name Spellings
Jeffrey Sukharev
L. Zhukov
Alexandrin Popescul
43
3
0
07 May 2014
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