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The CMA Evolution Strategy: A Tutorial

4 April 2016

Papers citing "The CMA Evolution Strategy: A Tutorial"

50 / 377 papers shown

Title
Simulating Interaction Movements via Model Predictive Control Markus Klar F. Fischer A. Fleig Miroslav Bachinski Jörg P. Müller 30 7 0 19 Apr 2022
Selecting Continuous Life-Like Cellular Automata for Halting Unpredictability: Evolving for Abiogenesis Q. Davis Josh Bongard 61 3 0 15 Apr 2022
High-performance Evolutionary Algorithms for Online Neuron Control Binxu Wang Carlos R. Ponce 66 6 0 14 Apr 2022
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies D. Schroder Diederick Vermetten Hongya Wang Carola Doerr Thomas Bäck 68 1 0 13 Apr 2022
Effective Mutation Rate Adaptation through Group Elite Selection Akarsh Kumar B. Liu Risto Miikkulainen Peter Stone 28 10 0 11 Apr 2022
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models Elvis Nava John Z. Zhang M. Michelis Tao Du Pingchuan Ma Benjamin Grewe Wojciech Matusik Robert K. Katzschmann 112 12 0 30 Mar 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li Jiaxin Zhang Lu Liu Jian-Dong Liu FedML 89 122 0 29 Mar 2022
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture Buzhen Huang Liang Pan Yuan Yang Jingyi Ju Yangang Wang 3DH 54 32 0 26 Mar 2022
Inferring Articulated Rigid Body Dynamics from RGBD Video Eric Heiden Ziang Liu Vibhav Vineet Erwin Coumans Gaurav Sukhatme PINN AI4CE 111 12 0 20 Mar 2022
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization Xiaoyu He Zibin Zheng Yuren Zhou 74 33 0 15 Mar 2022
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion Rui Chen Chenxi Wang Tianhao Wei Changliu Liu 122 2 0 06 Mar 2022
A Machine Learning Generative Method for Automating Antenna Design and Optimization Yang Zhong Péter Renner W. Dou Geng Ye Jiang Zhu Qing Huo Liu 20 16 0 28 Feb 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis 92 54 0 08 Feb 2022
Fast Moving Natural Evolution Strategy for High-Dimensional Problems Masahiro Nomura I. Ono 48 6 0 27 Jan 2022
Correcting for Reporting Delays in Cyber Incidents Seema Sangari E. Dallal 13 2 0 20 Jan 2022
Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun Yunfan Shao Hong Qian Xuanjing Huang Xipeng Qiu VLM 190 276 0 10 Jan 2022
Evolutionary Multitasking AUC Optimization Chao Wang K. Wu Jing Liu 45 7 0 04 Jan 2022
Bayesian Optimization of Function Networks Raul Astudillo P. Frazier 80 37 0 31 Dec 2021
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 93 68 0 27 Dec 2021
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFN $α$ therapy against Myeloproliferative Neoplasms G. Hermange W. Vainchenker I. Plo P. Cournède 18 2 0 20 Dec 2021
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding Yulun Zhang Matthew C. Fontaine Amy K. Hoover Stefanos Nikolaidis 150 33 0 07 Dec 2021
Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies Masahiro Nomura I. Ono 39 6 0 22 Nov 2021
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO Paul Muller Mark Rowland Romuald Elie Georgios Piliouras Julien Perolat Mathieu Lauriere Raphaël Marinier Olivier Pietquin K. Tuyls 67 25 0 16 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 116 39 0 04 Nov 2021
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space Giuseppe Paolo Alexandre Coninx Alban Laflaquière Stéphane Doncieux 41 3 0 02 Nov 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information Baolin Zheng Peipei Jiang Qian Wang Qi Li Chao Shen Cong Wang Yunjie Ge Qingyang Teng Shenyi Zhang AAML 54 73 0 19 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 98 36 0 12 Oct 2021
Safe Control with Neural Network Dynamic Models Tianhao Wei Changliu Liu 92 36 0 03 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 138 60 0 28 Sep 2021
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection Yi Shen Carl Kingsford 81 10 0 20 Sep 2021
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization Ryoji Tanabe 97 15 0 17 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 78 58 0 16 Sep 2021
Illuminating Diverse Neural Cellular Automata for Level Generation Sam Earle J. Snider Matthew C. Fontaine Stefanos Nikolaidis Julian Togelius 114 37 0 12 Sep 2021
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective David M. Bossens Danesh Tarapore 66 7 0 08 Sep 2021
Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure Masahiro Nomura I. Ono 46 3 0 21 Aug 2021
Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series Jinhua Guo Hao Chen Jingxin Zhang Sheng Chen 22 5 0 18 Aug 2021
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion Boshen Niu Chenxi Wang Changliu Liu 109 5 0 04 Aug 2021
Constrained Graphic Layout Generation via Latent Optimization Kotaro Kikuchi E. Simo-Serra Mayu Otani Kota Yamaguchi 75 106 0 02 Aug 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 76 6 0 15 Jul 2021
Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity Q. Davis AI4CE 52 2 0 13 Jul 2021
Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives Muhammad Suhail Saleem R. Sood S. Onodera Rohit Arora H. Kanazawa Maxim Likhachev 13 5 0 06 Jul 2021
Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning S. Hooten R. Beausoleil T. Van Vaerenbergh 76 23 0 30 Jun 2021
On the Importance of Environments in Human-Robot Coordination Matthew C. Fontaine Ya-Chuan Hsu Yulun Zhang Bryon Tjanaka Stefanos Nikolaidis 105 60 0 21 Jun 2021
Learning Space Partitions for Path Planning Kevin Kaichuang Yang Tianjun Zhang Chris Cummins Brandon Cui Benoit Steiner Linnan Wang Joseph E. Gonzalez Dan Klein Yuandong Tian 82 11 0 19 Jun 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 107 180 0 11 Jun 2021
Bayesian Optimization over Hybrid Spaces Aryan Deshwal Syrine Belakaria J. Doppa 77 34 0 08 Jun 2021
Differentiable Quality Diversity Matthew C. Fontaine Stefanos Nikolaidis 129 91 0 07 Jun 2021
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data Kourosh Hakhamaneshi Pieter Abbeel Vladimir M. Stojanović Aditya Grover 74 10 0 02 Jun 2021
Shaped Policy Search for Evolutionary Strategies using Waypoints Kiran Lekkala Laurent Itti 39 1 0 30 May 2021
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution David M. Bossens Danesh Tarapore 13 0 0 21 May 2021