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
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning Maxence Faldor Félix Chalumeau Manon Flageat Antoine Cully 35 2 0 10 Dec 2023
How to guess a gradient Utkarsh Singhal Brian Cheung Kartik Chandra Jonathan Ragan-Kelley Joshua B. Tenenbaum Tomaso Poggio Stella X. Yu ODL 28 3 0 07 Dec 2023
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention Isabel Leal Krzysztof Choromanski Deepali Jain Kumar Avinava Dubey Jake Varley ... Q. Vuong Tamás Sarlós Kenneth Oslund Karol Hausman Kanishka Rao 44 8 0 04 Dec 2023
Learning Neural Traffic Rules Xuan Zhang Xifeng Gao Kui Wu Zherong Pan 35 0 0 03 Dec 2023
Pointer Networks Trained Better via Evolutionary Algorithms Muyao Zhong Shengcai Liu Bingdong Li Haobo Fu Ke Tang Peng Yang 31 0 0 02 Dec 2023
A Unified Hardware-based Threat Detector for AI Accelerators Xiaobei Yan Han Qiu Tianwei Zhang 16 2 0 28 Nov 2023
Evolutionary Machine Learning and Games Julian Togelius Ahmed Khalifa Sam Earle M. Green Lisa Soros 46 1 0 20 Nov 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs James Hazelden Yuhan Helena Liu Eli Shlizerman E. Shea-Brown 47 2 0 17 Nov 2023
Zenkai -- Framework For Exploring Beyond Backpropagation Greg Short 28 0 0 16 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning Mohammad Mahdi Rahimi Hasnain Irshad Bhatti Younghyun Park Humaira Kousar Jaekyun Moon FedML 48 7 0 13 Nov 2023
An Intelligent Social Learning-based Optimization Strategy for Black-box Robotic Control with Reinforcement Learning Xubo Yang Jian Gao Ting Wang Yaozhen He 18 0 0 11 Nov 2023
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies Guangchen Lan FedML 37 0 0 05 Nov 2023
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Robert Tjarko Lange Yujin Tang Yingtao Tian ELM 38 3 0 04 Nov 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 33 0 0 29 Oct 2023
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months Fady Rezk Antreas Antoniou Henry Gouk Timothy M. Hospedales ELM 20 1 0 27 Oct 2023
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency Xiaoyun Liu Divya Saxena Jiannong Cao Yuqing Zhao Penghui Ruan 44 0 0 23 Oct 2023
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition Yige Xu Zhiwei Zeng Zhiqi Shen VLM 33 3 0 23 Oct 2023
Learning to (Learn at Test Time) Yu Sun Xinhao Li Karan Dalal Chloe Hsu Oluwasanmi Koyejo Carlos Guestrin Xiaolong Wang Tatsunori Hashimoto Xinlei Chen SSL 30 7 0 20 Oct 2023
Reinforcement Learning for Reduced-order Models of Legged Robots Yu-Ming Chen Hien Bui Michael Posa 35 7 0 15 Oct 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation Liang Zhang Bingcong Li K. K. Thekumparampil Sewoong Oh Niao He 28 11 0 14 Oct 2023
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Zeyuan Ma Hongshu Guo Jiacheng Chen Zhenrui Li Guojun Peng Yue-jiao Gong Yining Ma Zhiguang Cao OffRL 35 27 0 12 Oct 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks Antonin Raffin Olivier Sigaud Jens Kober Alin Albu-Schäffer João Silvério F. Stulp 40 2 0 09 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design Matthew Jackson Minqi Jiang Jack Parker-Holder Risto Vuorio Chris Xiaoxuan Lu Gregory Farquhar Shimon Whiteson Jakob N. Foerster OOD 19 9 0 04 Oct 2023
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution Shuang Ao Tianyi Zhou Guodong Long Xuan Song Jing Jiang 30 3 0 21 Sep 2023
Evolving generalist controllers to handle a wide range of morphological variations Corinna Triebold Anil Yaman 25 2 0 18 Sep 2023
Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds Francecso Vezzi Jiatao Ding Antonin Raffin Jens Kober Cosimo Della Santina 18 8 0 18 Sep 2023
Model-based Offline Policy Optimization with Adversarial Network Junming Yang Xingguo Chen Shengyuan Wang Bolei Zhang OffRL 21 2 0 05 Sep 2023
Randomized Polar Codes for Anytime Distributed Machine Learning Burak Bartan Mert Pilanci 21 4 0 01 Sep 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 28 0 0 31 Aug 2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities Yanjie Song Yutong Wu Yangyang Guo Ran Yan Suganthan Yue Zhang Witold Pedrycz Swagatam Das R. Mallipeddi Solomon Ajani 50 38 0 25 Aug 2023
A Principle for Global Optimization with Gradients Nils Müller 17 0 0 18 Aug 2023
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box Yingcheng Cai Gerhard Wunder FAtt 31 0 0 18 Aug 2023
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin T. Sandholm 37 0 0 16 Aug 2023
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference Ahmad Ayaz Amin BDL DRL 24 0 0 15 Aug 2023
Impression-Aware Recommender Systems F. B. P. Maurera Maurizio Ferrari Dacrema P. Castells Paolo Cremonesi AI4TS 40 2 0 15 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 27 2 0 01 Aug 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization Junyi Wang Yuanyang Zhu Zhi Wang Yan Zheng Jianye Hao Chun-Han Chen OffRL 19 0 0 01 Aug 2023
Evolving Multi-Objective Neural Network Controllers for Robot Swarms Karl Mason Sabine Hauert 18 0 0 26 Jul 2023
Zero-th Order Algorithm for Softmax Attention Optimization Yichuan Deng Zhihang Li Sridhar Mahadevan Zhao Song 43 13 0 17 Jul 2023
Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs Elias Najarro Shyam Sudhakaran S. Risi 28 16 0 17 Jul 2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 37 2 0 20 Jun 2023
Learning-Based Automatic Synthesis of Software Code and Configuration Shantanu Mandal 38 0 0 25 May 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason Eshraghian 36 52 0 18 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 May 2023
Optimizing Memory Mapping Using Deep Reinforcement Learning Pengming Wang Mikita Sazanovich Berkin Ilbeyi P. Phothilimthana Manish Purohit ... R. Tung Paula Kurylowicz Kieran Milan Oriol Vinyals D. Mankowitz 16 4 0 11 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 29 0 0 10 May 2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Qingbin Liu 32 9 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 56 5 0 21 Apr 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 18 1 0 19 Apr 2023
Gradient-Free Textual Inversion Zhengcong Fei Mingyuan Fan Junshi Huang DiffM 33 31 0 12 Apr 2023