Evolution Strategies as a Scalable Alternative to Reinforcement Learning

10 March 2017

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

50 / 301 papers shown

Title
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence Jinhao Jiang Changlin Chen Shile Feng Wanru Geng Zesheng Zhou Ni Wang Shuai Li Feng-Qi Cui Erbao Dong AI4CE 31 0 0 11 May 2025
Model Tensor Planning An T. Le K. Nguyen Minh Nhat Vu João Carvalho Jan Peters 35 0 0 02 May 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 53 0 0 30 Apr 2025
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction David Hagerman Anna Johnning Roman Naeem Fredrik Kahl Erik Kristiansson Lennart Svensson 69 0 0 24 Feb 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System David B. DÁmbrosio Jonathan Abelian Saminda Abeyruwan Michael Ahn Alex Bewley ... Vikas Sindhwani Avi Singh Vincent Vanhoucke Grace Vesom Peng Xu 60 13 0 20 Feb 2025
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc OffRL 75 0 0 10 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 101 1 0 04 Feb 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 43 0 0 30 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 91 2 0 22 Jan 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 64 0 0 17 Jan 2025
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 65 4 0 10 Jan 2025
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning Ya Shen Gang Chen Hui Ma Mengjie Zhang 37 1 0 31 Dec 2024
GraCo -- A Graph Composer for Integrated Circuits Stefan Uhlich Andrea Bonetti Arun Venkitaraman Ali Momeni Ryoga Matsuo Chia-Yu Hsieh Eisaku Ohbuchi Lorenzo Servadei GNN 95 0 0 21 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 27 2 0 08 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 128 2 0 01 Nov 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 226 3 0 12 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 40 1 0 08 Oct 2024
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise Catalin-Viorel Dinu Yash J. Patel X. Bonet-Monroig Hao Wang 33 0 0 25 Sep 2024
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Qining Zhang Lei Ying OffRL 37 2 0 25 Sep 2024
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Dionysis Kalogerias 37 0 0 02 Sep 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
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
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
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
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
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
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
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 33 0 0 29 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
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
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 26 0 0 31 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 24 2 0 01 Aug 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 14 4 0 11 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 29 0 0 10 May 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