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The CMA Evolution Strategy: A Tutorial

4 April 2016

Papers citing "The CMA Evolution Strategy: A Tutorial"

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Title
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations Subhajit Chaudhury T. Yamasaki 27 3 0 14 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 99 541 0 12 Mar 2020
Motion Planning for Quadrupedal Locomotion: Coupled Planning, Terrain Mapping and Whole-Body Control Carlos Mastalli Ioannis Havoutis Michele Focchi D. Caldwell Claudio Semini 92 113 0 11 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 88 89 0 03 Mar 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 68 9 0 21 Feb 2020
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction Kourosh Hakhamaneshi Keertana Settaluri Pieter Abbeel Vladimir M. Stojanović 51 1 0 17 Feb 2020
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang 87 17 0 07 Feb 2020
Self-Directed Online Machine Learning for Topology Optimization Changyu Deng Yizhou Wang Can Qin Yun Fu Wei Lu AI4CE 113 76 0 04 Feb 2020
Building high accuracy emulators for scientific simulations with deep neural architecture search M. F. Kasim D. Watson‐Parris L. Deaconu Sophy Oliver P. Hatfield ... S. Khatiwala J. Korenaga J. Topp-Mugglestone E. Viezzer S. Vinko AI4CE 54 95 0 17 Jan 2020
Analysis of Genetic Algorithm on Bearings-Only Target Motion Analysis Erdem Köse 11 3 0 15 Jan 2020
Reinforcement Learning with Convolutional Reservoir Computing Hanten Chang K. Futagami 56 22 0 05 Dec 2019
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis Amy K. Hoover 133 138 0 05 Dec 2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 88 18 0 05 Dec 2019
Multi-Attribute Bayesian Optimization With Interactive Preference Learning Raul Astudillo P. Frazier 82 33 0 14 Nov 2019
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching Wei Peng Xiaopeng Hong Haoyu Chen Guoying Zhao GNN 113 331 0 11 Nov 2019
Learning to Learn by Zeroth-Order Oracle Yangjun Ruan Yuanhao Xiong Sashank J. Reddi Sanjiv Kumar Cho-Jui Hsieh 62 17 0 21 Oct 2019
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions Florian Meier Asier Mujika M. Gauy Angelika Steger 77 16 0 11 Oct 2019
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots Kyo Kutsuzawa Hitoshi Kusano A. Kume Shoichiro Yamaguchi GAN 26 4 0 08 Oct 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 75 97 0 27 Sep 2019
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 59 7 0 17 Sep 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 78 265 0 12 Aug 2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks S. Rothe Shashi Narayan Aliaksei Severyn SILM 157 438 0 29 Jul 2019
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer Adam Allevato Elaine Schaertl Short Mitch Pryor A. Thomaz 141 54 0 25 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 50 4 0 18 Jul 2019
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition Xiaodong Cui M. Picheny 45 3 0 10 Jul 2019
Evolution Attack On Neural Networks Yigui Luo Ruijia Yang Wei Sha Weiyi Ding YouTeng Sun Yisi Wang AAML 24 0 0 21 Jun 2019
Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm Zinan Liu Arne Hitzmann Shuhei Ikemoto Svenja Stark Jan Peters K. Hosoda 20 3 0 21 Jun 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 81 78 0 04 Jun 2019
2019 Evolutionary Algorithms Review A. Sloss Steven M. Gustafson 75 61 0 03 Jun 2019
Bayesian Optimization with Approximate Set Kernels Jungtaek Kim M. McCourt Tackgeun You Saehoon Kim Seungjin Choi 80 8 0 23 May 2019
NGO-GM: Natural Gradient Optimization for Graphical Models Eric Benhamou Jamal Atif R. Laraki David Saltiel 23 1 0 14 May 2019
Data-efficient Learning of Morphology and Controller for a Microrobot Thomas I. Liao Grant Wang Brian Yang R. Lee K. Pister Sergey Levine Roberto Calandra 63 51 0 03 May 2019
Self Training Autonomous Driving Agent Shashank Kotyan Danilo Vasconcellos Vargas Venkanna Udutalapally 37 4 0 26 Apr 2019
BCMA-ES: A Bayesian approach to CMA-ES Eric Benhamou David Saltiel S. Vérel F. Teytaud 11 9 0 02 Apr 2019
On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy Yang Lou S. Y. Yuen Guanrong Chen Xin Zhang 15 1 0 16 Mar 2019
$Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm$ Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm Florian Strub M. Charpagne Tresa M. Pollock 11 1 0 07 Mar 2019
Segmentation of Roots in Soil with U-Net Abraham George Smith Jens Petersen Raghavendra Selvan C. Rasmussen 78 125 0 28 Feb 2019
Learn a Prior for RHEA for Better Online Planning Xinyao Tong W. Liu Bin Li OffRL 109 0 0 14 Feb 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 80 13 0 31 Jan 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 154 199 0 29 Jan 2019
Evaluation Function Approximation for Scrabble Rishabh Agarwal LLMAG 42 0 0 25 Jan 2019
On Local Optimizers of Acquisition Functions in Bayesian Optimization Jungtaek Kim Seungjin Choi 56 19 0 24 Jan 2019
Analysis of the $(μ/μ_I,λ)$ -CSA-ES with Repair by Projection Applied to a Conically Constrained Problem Patrick Spettel Hans-Georg Beyer 16 3 0 23 Jan 2019
Perception-in-the-Loop Adversarial Examples Mahmoud Salamati Sadegh Soudjani R. Majumdar AAML 20 2 0 21 Jan 2019
Generalizable Meta-Heuristic based on Temporal Estimation of Rewards for Large Scale Blackbox Optimization Mingde Zhao Hongwei Ge Yi Lian Kai Zhang 21 1 0 17 Dec 2018
Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization Naoki Sakamoto Youhei Akimoto 34 14 0 02 Nov 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 90 91 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations Lan Hu Yuchen Cao Peng Wu L. Kneip 65 4 0 11 Oct 2018
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 122 66 0 08 Oct 2018