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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
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy Maxence Faldor Félix Chalumeau Manon Flageat Antoine Cully 92 19 0 07 Mar 2023
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization Bryon Tjanaka Matthew C. Fontaine David H. Lee Yulun Zhang Nivedit Reddy Balam N. Dennler Sujay S. Garlanka Nikitas Dimitri Klapsis Stefanos Nikolaidis 107 42 0 01 Mar 2023
Language Model Crossover: Variation through Few-Shot Prompting Elliot Meyerson M. Nelson Herbie Bradley Adam Gaier Arash Moradi Amy K. Hoover Joel Lehman VLM 145 93 0 23 Feb 2023
MarioGPT: Open-Ended Text2Level Generation through Large Language Models Shyam Sudhakaran Miguel González Duque Claire Glanois Matthias Anton Freiberger Elias Najarro S. Risi VLM 103 58 0 12 Feb 2023
Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution Tim Whitaker L. D. Whitley 62 0 0 12 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization Yasong Feng Weijian Luo Yimin Huang Tianyu Wang 63 8 0 03 Feb 2023
Target specific peptide design using latent space approximate trajectory collector Tong Lin Sijie Chen R. Basu D. Pei Xiaolin Cheng Levent Burak Kara 66 2 0 02 Feb 2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges T. Taniguchi Shingo Murata Masahiro Suzuki D. Ognibene Pablo Lanillos ... L. Jamone Tomoaki Nakamura Alejandra Ciria B. Lara G. Pezzulo 103 57 0 14 Jan 2023
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching Nat Wannawas A. Faisal 48 5 0 10 Jan 2023
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization Ryoki Hamano Shota Saito Masahiro Nomura Shinichi Shirakawa 34 0 0 19 Dec 2022
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results Nicholas Sung Jian Cheng Wong C. Ooi Abhishek Gupta P. Chiu Yew-Soon Ong PINN 65 7 0 15 Dec 2022
Technical Report -- Competition Solution for Prompt Tuning using Pretrained Language Model Jiang-Long Song Wuhe Zou Feng Li Xiaolei Qin Weidong Zhang 75 0 0 13 Dec 2022
Selected Trends in Artificial Intelligence for Space Applications Dario Izzo Gabriele Meoni Pablo Gómez Domink Dold Alexander Zoechbauer 76 10 0 10 Dec 2022
Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu Changliu Liu John M. Dolan AAML 87 41 0 20 Nov 2022
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing Ce Hao Chen Tang Eric Bergkvist Catherine Weaver Liting Sun Wei Zhan Masayoshi Tomizuka 54 3 0 17 Nov 2022
Quality-diversity in dissimilarity spaces Steve Huntsman 80 1 0 14 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 95 4 0 11 Nov 2022
Synthesizing Programs with Continuous Optimization Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich A. Muzahid 57 3 0 02 Nov 2022
CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion Guillaume Bellegarda A. Ijspeert 100 85 0 01 Nov 2022
Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces Xinghao Zhu Wenzhao Lian Bodi Yuan C. Freeman Masayoshi Tomizuka 55 5 0 31 Oct 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains Manon Flageat Félix Chalumeau Antoine Cully 82 26 0 24 Oct 2022
Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics Piotr Kipinski Hubert Guzowski Aleksandra Urbanczyk M. Smółka Marek Kisiel-Dorohinicki ... Z. Oplatková R. Šenkeřík L. Pekař R. Matušů F. Gazdoš 18 5 0 23 Oct 2022
Sample Efficient Robot Learning with Structured World Models T. Akbulut Max Merlin Shane Parr Benedict Quartey Skye Thompson 44 0 0 21 Oct 2022
Discovering Many Diverse Solutions with Bayesian Optimization Natalie Maus Kaiwen Wu David Eriksson Jacob R. Gardner 135 25 0 20 Oct 2022
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System Aryan Garg Renu M. Rameshan 68 0 0 15 Oct 2022
VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior Julius Jankowski Lara Brudermüller Nick Hawes Sylvain Calinon 99 32 0 08 Oct 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing Bryon Tjanaka Matthew C. Fontaine David H. Lee Aniruddha Kalkar Stefanos Nikolaidis 124 10 0 06 Oct 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization Lei Song Ke Xue Xiaobin Huang Chaojun Qian 127 34 0 04 Oct 2022
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations Zoey Qiuyu Chen Karl Van Wyk Yu-Wei Chao Wei Yang Arsalan Mousavian Abhishek Gupta Dieter Fox 101 22 0 28 Sep 2022
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways J. Park Xuesu Xiao Garrett A. Warnell Harel Yedidsion Peter Stone 93 13 0 27 Sep 2022
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES Nat Wannawas A. Shafti Aldo A. Faisal OffRL 42 9 0 16 Sep 2022
Game-theoretic Objective Space Planning Hongrui Zheng Zhijun Zhuang Johannes Betz Rahul Mangharam 71 6 0 16 Sep 2022
Towards self-attention based visual navigation in the real world Jaime Ruiz-Serra Jack White Stephen M. Petrie T. Kameneva C. McCarthy 78 1 0 15 Sep 2022
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 181 4 0 13 Sep 2022
Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization Rui Zhong M. Munetomo 8 0 0 29 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 84 3 0 04 Aug 2022
Approximate Differentiable Rendering with Algebraic Surfaces L. Keselman M. Hebert 3DGS 89 45 0 21 Jul 2022
Hyperparameter Tuning in Echo State Networks Filip Matzner 59 3 0 16 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 74 33 0 13 Jul 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL Wei Shi Hanrui Wang Jiaqi Gu Mingjie Liu David Z. Pan Song Han Nan Sun 84 16 0 13 Jul 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 125 111 0 19 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning Yang Li Yu Shen Huaijun Jiang Tianyi Bai Wentao Zhang Ce Zhang Tengjiao Wang 81 13 0 06 Jun 2022
CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization Ryoki Hamano Shota Saito Masahiro Nomura Shinichi Shirakawa 47 36 0 26 May 2022
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control Maximilian Hüttenrauch Gerhard Neumann 67 1 0 24 May 2022
Covariance Matrix Adaptation MAP-Annealing Matthew C. Fontaine Stefanos Nikolaidis 134 28 0 22 May 2022
Hyperparameter Optimization with Neural Network Pruning Kangil Lee Junho Yim 61 7 0 18 May 2022
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms Achkan Salehi Stéphane Doncieux OffRL 68 3 0 06 May 2022
Differentiable Simulation of Soft Multi-body Systems Yi-Ling Qiao Junbang Liang V. Koltun Ming-Chyuan Lin AI4CE 98 44 0 03 May 2022
RLFlow: Optimising Neural Network Subgraph Transformation with World Models Sean Parker Sami Alabed Eiko Yoneki 34 0 0 03 May 2022
Shape Change and Control of Pressure-based Soft Agents F. Pigozzi AI4CE 55 2 0 01 May 2022