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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
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning Lara Brudermüller Guillaume Berger Julius Jankowski Raunak P. Bhattacharyya Raphaël Jungers Nick Hawes 71 1 0 02 Feb 2024
Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors Meredith L. Hooper Isabel Scherl Morteza Gharib 15 3 0 01 Feb 2024
CMA-ES with Learning Rate Adaptation Masahiro Nomura Youhei Akimoto I. Ono 46 12 0 29 Jan 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges Wang Chao Jiaxuan Zhao Licheng Jiao Lingling Li Fang Liu Shuyuan Yang 153 12 0 19 Jan 2024
An Invariant Information Geometric Method for High-Dimensional Online Optimization Zhengfei Zhang Yunyue Wei Yanan Sui 68 1 0 03 Jan 2024
Density Descent for Diversity Optimization David H. Lee Anishalakshmi V. Palaparthi Matthew C. Fontaine Bryon Tjanaka Stefanos Nikolaidis 76 1 0 18 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 199 5 0 13 Dec 2023
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning Maxence Faldor Félix Chalumeau Manon Flageat Antoine Cully 76 2 0 10 Dec 2023
Evolving Reservoirs for Meta Reinforcement Learning Corentin Léger Gautier Hamon Eleni Nisioti X. Hinaut Clément Moulin-Frier 90 1 0 09 Dec 2023
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 82 2 0 29 Nov 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 193 19 0 29 Nov 2023
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies Guangchen Lan FedML 61 0 0 05 Nov 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 111 2 0 03 Nov 2023
Requirement falsification for cyber-physical systems using generative models J. Peltomäki Ivan Porres 92 6 0 31 Oct 2023
Arbitrarily Scalable Environment Generators via Neural Cellular Automata Yulun Zhang Matthew C. Fontaine Varun Bhatt Stefanos Nikolaidis Jiaoyang Li 98 9 0 28 Oct 2023
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization Qiqi Duan Chang Shao Guochen Zhou Minghan Zhang Qi Zhao Yuhui Shi 88 1 0 09 Oct 2023
Evolutionary Retrosynthetic Route Planning Yan Zhang Hao Hao Xiao He Shuanhu Gao Aimin Zhou 71 2 0 08 Oct 2023
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models Jingwei Sun Ziyue Xu Hongxu Yin Dong Yang Daguang Xu Yiran Chen Holger R. Roth VLM 144 26 0 02 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 60 0 0 01 Oct 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives Muhammad Kazim JunGee Hong Min-Gyeom Kim Kwang-Ki K. Kim 78 20 0 22 Sep 2023
A Lightweight and Transferable Design for Robust LEGO Manipulation Ruixuan Liu Yifan Sun Changliu Liu 103 7 0 05 Sep 2023
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics Michael Fischer Tobias Ritschel 87 3 0 10 Aug 2023
Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics J. Huber François Hélénon Miranda Coninx F. B. Amar Stéphane Doncieux 118 7 0 10 Aug 2023
Optimizing Algorithms From Pairwise User Preferences L. Keselman Katherine Shih M. Hebert Aaron Steinfeld 62 5 0 08 Aug 2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation Lucas Barcelos Tin Lai Rafael Oliveira Paulo Borges Fabio Ramos 169 7 0 08 Aug 2023
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics B. M. Gonultas Pratik Mukherjee O. G. Poyrazoglu Volkan Isler 85 3 0 07 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 56 3 0 01 Aug 2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints Matthias Anton Freiberger Peter Kun Christian Igel A. Løvlie S. Risi VLM AAML 110 2 0 07 Jul 2023
Large Language and Text-to-3D Models for Engineering Design Optimization Thiago Rios Stefan Menzel B. Sendhoff AI4CE 87 10 0 03 Jul 2023
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure Lennart Purucker Joeran Beel 59 8 0 01 Jul 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 134 59 0 12 Jun 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems Gjorgjina Cenikj G. Petelin Carola Doerr Peter Korošec T. Eftimov 86 11 0 08 Jun 2023
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen Jiuhai Chen Tom Goldstein Heng-Chiao Huang Dinesh Manocha 102 45 0 05 Jun 2023
Topological gap protocol based machine learning optimization of Majorana hybrid wires M. Thamm B. Rosenow 50 0 0 25 May 2023
Learning-Based Automatic Synthesis of Software Code and Configuration Shantanu Mandal 88 0 0 25 May 2023
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning Sumeet Batra Bryon Tjanaka Matthew C. Fontaine Aleksei Petrenko Stefanos Nikolaidis Gaurav Sukhatme OffRL 108 17 0 23 May 2023
Earning Extra Performance from Restrictive Feedbacks Jing Li Yuangang Pan Yueming Lyu Yinghua Yao Yulei Sui Ivor W. Tsang 52 3 0 28 Apr 2023
Surrogate Assisted Generation of Human-Robot Interaction Scenarios Varun Bhatt Heramb Nemlekar Matthew C. Fontaine Bryon Tjanaka Hejia Zhang Ya-Chuan Hsu Stefanos Nikolaidis 117 8 0 26 Apr 2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems André Thomaser Jacob De Nobel Diederick Vermetten Furong Ye Thomas Bäck Anna V. Kononova 63 5 0 25 Apr 2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Qingbin Liu 92 13 0 24 Apr 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies Oscar Li James Harrison Jascha Narain Sohl-Dickstein Virginia Smith Luke Metz 116 6 0 21 Apr 2023
Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance Shuhei Watanabe 81 135 0 21 Apr 2023
Gradient-Free Textual Inversion Zhengcong Fei Mingyuan Fan Junshi Huang DiffM 122 33 0 12 Apr 2023
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains Luca Grillotti Manon Flageat Bryan Lim Antoine Cully 89 8 0 07 Apr 2023
Self-building Neural Networks Andrea Ferigo Giovanni Iacca 46 2 0 03 Apr 2023
On-line reinforcement learning for optimization of real-life energy trading strategy Lukasz Lepak Pawel Wawrzyñski 68 0 0 28 Mar 2023
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models Mohamed Hibat-Allah M. Mauri Juan Carrasquilla A. Perdomo-Ortiz 68 10 0 27 Mar 2023
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning Bradford T. Windsor Brandon O'Shea Mengxi Wu 65 0 0 26 Mar 2023
Discovering Multiple Algorithm Configurations L. Keselman M. Hebert 72 1 0 13 Mar 2023
Toward Zero-Shot Sim-to-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioceptive Sensing Uksang Yoo Hanwen Zhao A. Altamirano Wenzhen Yuan Chen Feng 3DPC 86 13 0 08 Mar 2023