Evolution Strategies as a Scalable Alternative to Reinforcement Learning

10 March 2017

Papers citing "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

50 / 407 papers shown

Title
Black box meta-learning intrinsic rewards for sparse-reward environments Octavio Pappalardo Rodrigo Ramele Juan Miguel Santos OffRL 48 0 0 31 Jul 2024
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 45 0 0 17 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 44 3 0 09 Jul 2024
Augmented Bayesian Policy Search Mahdi Kallel Debabrota Basu R. Akrour Carlo DÉramo 47 2 0 05 Jul 2024
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs Enshu Liu Junyi Zhu Zinan Lin Xuefei Ning Matthew B. Blaschko Shengen Yan Guohao Dai Huazhong Yang Yu Wang MoE 62 5 0 01 Jul 2024
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network Yuming Zhang Shouxin Zhang Peizhe Wang Feiyu Zhu Dongzhi Guan Junhao Su Jiabin Liu Changpeng Cai 33 2 0 24 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 49 4 0 21 Jun 2024
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks Johanna P. Müller Bernhard Kainz MedIm 48 1 0 20 Jun 2024
Knowledge Fusion By Evolving Weights of Language Models Guodong Du Jing Li Hanting Liu Runhua Jiang Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang MoMe 46 8 0 18 Jun 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning Silvia Sapora Gokul Swamy Chris Xiaoxuan Lu Yee Whye Teh Jakob Nicolaus Foerster 42 6 0 15 Jun 2024
AlphaZeroES: Direct score maximization outperforms planning loss minimization Carlos Martin Tuomas Sandholm 28 0 0 12 Jun 2024
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 37 0 0 20 May 2024
Comparisons Are All You Need for Optimizing Smooth Functions Chenyi Zhang Tongyang Li AAML 37 1 0 19 May 2024
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity Eleni Nisioti Erwan Plantec Milton L. Montero J. Pedersen Sebastian Risi 29 1 0 14 May 2024
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies Paul Templier Emmanuel Rachelson Antoine Cully Dennis G. Wilson 29 0 0 07 May 2024
Quality with Just Enough Diversity in Evolutionary Policy Search Paul Templier Luca Grillotti Emmanuel Rachelson Dennis G. Wilson Antoine Cully 35 1 0 07 May 2024
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization S. Reifenstein T. Leleu Yoshihisa Yamamoto 48 1 0 02 May 2024
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning Chengqian Gao William de Vazelhes Hualin Zhang Bin Gu Zhiqiang Xu 54 0 0 02 May 2024
Evolutionary Reinforcement Learning via Cooperative Coevolution Chengpeng Hu Jialin Liu Xinghu Yao 24 0 0 23 Apr 2024
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming Jie Wang Zhihai Wang Xijun Li Yufei Kuang Zhihao Shi Fangzhou Zhu Mingxuan Yuan Jianguo Zeng Yongdong Zhang Feng Wu 56 7 0 19 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents J. Pedersen Erwan Plantec Eleni Nisioti Milton L. Montero Sebastian Risi 55 1 0 06 Apr 2024
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity Jacob Varley Sumeet Singh Deepali Jain Krzysztof Choromanski Andy Zeng Somnath Basu Roy Chowdhury Kumar Avinava Dubey Vikas Sindhwani LM&Ro 34 14 0 04 Apr 2024
Discrete Natural Evolution Strategies Ahmad Ayaz Amin 25 0 0 30 Mar 2024
Learning Traffic Signal Control via Genetic Programming Xiao-Cheng Liao Yi Mei Mengjie Zhang 40 6 0 26 Mar 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation Zeliang Zhang Mingqian Feng Jinyang Jiang Rongyi Zhu Yijie Peng Chenliang Xu FAtt 34 2 0 22 Mar 2024
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks Tarek Kunze Paul Templier Dennis G. Wilson 35 0 0 20 Mar 2024
Federated reinforcement learning for robot motion planning with zero-shot generalization Zhenyuan Yuan Siyuan Xu Minghui Zhu FedML 40 1 0 20 Mar 2024
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training Zeliang Zhang Jinyang Jiang Zhuo Liu Susan Liang Yijie Peng Chenliang Xu 37 0 0 18 Mar 2024
Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach George Stamatelis Angelos-Nikolaos Kanatas Ioannis Asprogerakas G. C. Alexandropoulos 26 1 0 15 Mar 2024
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands Pragna Mannam Xingyu Liu Ding Zhao Jean Oh N. S. Pollard 43 0 0 15 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 30 11 0 14 Mar 2024
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models Feihu Jin Yin Liu Ying Tan 35 3 0 04 Mar 2024
Guided Sketch-Based Program Induction by Search Gradients Ahmad Ayaz Amin 19 0 0 10 Feb 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms Matthew Jackson Chris Xiaoxuan Lu Louis Kirsch R. T. Lange Shimon Whiteson Jakob N. Foerster 27 18 0 08 Feb 2024
Learning mirror maps in policy mirror descent Carlo Alfano Sebastian Towers Silvia Sapora Chris Xiaoxuan Lu Patrick Rebeschini 32 0 0 07 Feb 2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization Tim Dernedde Daniela Thyssens Soren Dittrich Maximilan Stubbemann Lars Schmidt-Thieme 59 5 0 07 Feb 2024
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning Yoshiki Takagi Roderick S. Tabalba Nurit Kirshenbaum Jason Leigh 19 0 0 05 Feb 2024
Stochastic Two Points Method for Deep Model Zeroth-order Optimization Yijiang Pang Jiayu Zhou 24 0 0 02 Feb 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming Haotian Ling Zhihai Wang Jie Wang 47 5 0 31 Jan 2024
How to Forget Clients in Federated Online Learning to Rank? Shuyi Wang Bing Liu Guido Zuccon 17 7 0 24 Jan 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 39 9 0 22 Jan 2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li Hongyi Zhou Dominik Roth Serge Thilges Fabian Otto Rudolf Lioutikov Gerhard Neumann OffRL 27 7 0 21 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 75 13 0 19 Jan 2024
Identifying Policy Gradient Subspaces Jan Schneider-Barnes Pierre Schumacher Simon Guist Tianyu Cui Daniel Haeufle Bernhard Scholkopf Le Chen 49 5 0 12 Jan 2024
Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm A. Papachristodoulou C. Kyrkou S. Timotheou T. Theocharides 32 8 0 19 Dec 2023
Scaling Opponent Shaping to High Dimensional Games Akbir Khan Timon Willi Newton Kwan Andrea Tacchetti Chris Xiaoxuan Lu Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 38 10 0 19 Dec 2023
Leading the Pack: N-player Opponent Shaping Alexandra Souly Timon Willi Akbir Khan Robert Kirk Chris Xiaoxuan Lu Edward Grefenstette Tim Rocktaschel 48 3 0 19 Dec 2023
MToP: A MATLAB Optimization Platform for Evolutionary Multitasking Yanchi Li Wenyin Gong Feifei Ming Tingyu Zhang Shuijia Li Qiong Gu 34 4 0 13 Dec 2023
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms Manon Flageat Bryan Lim Antoine Cully OffRL 25 3 0 12 Dec 2023