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
Benchmarking MOEAs for solving continuous multi-objective RL problems Carlos Hernández Roberto Santana 4 0 0 19 May 2025
Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Zhiwei Yang Zeyang Fan Yihang Lai Qi Chen Tian Zhang Jian Dai Kun Xu 7 0 0 19 May 2025
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy Ya Shen Gang Chen Hui Ma Mengjie Zhang 14 0 0 18 May 2025
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets Patrick Stöckermann Henning Südfeld Alessandro Immordino Thomas Altenmüller Marc Wegmann Martin Gebser Konstantin Schekotihin Georg Seidel Chew Wye Chan Fei Fei Zhang OffRL 17 0 0 16 May 2025
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 33 0 0 11 May 2025
Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control Nam H. Le Patrick Erikson Yanbo Zhang Michael Levin Josh C. Bongard LM&Ro 31 0 0 05 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
Evolutionary Policy Optimization Zelal Su "Lain" Mustafaoglu Keshav Pingali Risto Miikkulainen 36 0 0 17 Apr 2025
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm Amir Ali Farzin Yuen-Man Pun Philipp Braun Antoine Lesage-Landry Youssef Diouane Iman Shames 53 1 0 10 Apr 2025
IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling Zébulon Goriely P. Buttery 26 1 0 03 Apr 2025
Forward Learning with Differential Privacy Mingqian Feng Zeliang Zhang Jinyang Jiang Yijie Peng Chenliang Xu 47 0 0 01 Apr 2025
Evolutionary Policy Optimization Jianren Wang Yifan Su Abhinav Gupta Deepak Pathak 50 0 0 24 Mar 2025
Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation Octi Zhang Quanquan Peng Rosario Scalise Bryon Boots 50 0 0 24 Mar 2025
Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots Binggwong Leung Worasuchad Haomachai J. Pedersen S. Risi Poramate Manoonpong OODD 76 0 0 16 Mar 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
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks Quan Long Bin Wang Bing Xue Mengjie Zhang 53 0 0 29 Jan 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 44 3 0 28 Jan 2025
Upside Down Reinforcement Learning with Policy Generators Jacopo Di Ventura Dylan R. Ashley Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 36 0 0 27 Jan 2025
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc 52 1 0 23 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 96 2 0 22 Jan 2025
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 64 0 0 17 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
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 47 2 0 12 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 40 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
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 41 0 0 30 Oct 2024
Sharpness-Aware Black-Box Optimization Feiyang Ye Yueming Lyu Xuehao Wang Masashi Sugiyama Yu-Jie Zhang Ivor W. Tsang AAML 47 0 0 16 Oct 2024
Evolutionary Retrofitting Mathurin Videau M. Zameshina Alessandro Leite Laurent Najman Marc Schoenauer O. Teytaud 41 0 0 15 Oct 2024
Stein Variational Evolution Strategies Cornelius V. Braun Robert T. Lange Marc Toussaint 31 0 0 14 Oct 2024
Reinforcement Learning in Hyperbolic Spaces: Models and Experiments V. Jaćimović Zinaid Kapić Aladin Crnkić 37 0 0 12 Oct 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 241 3 0 12 Oct 2024
Neural Circuit Architectural Priors for Quadruped Locomotion Nikhil X. Bhattasali Venkatesh Pattabiraman Lerrel Pinto Grace W. Lindsay 33 2 0 09 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
Diffusion Models are Evolutionary Algorithms Yanbo Zhang Benedikt Hartl Hananel Hazan Michael Levin 26 4 0 03 Oct 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
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
Compatible Gradient Approximations for Actor-Critic Algorithms Baturay Saglam Dionysis Kalogerias 37 0 0 02 Sep 2024
Learning Randomized Algorithms with Transformers J. Oswald Seijin Kobayashi Yassir Akram Angelika Steger AAML 44 0 0 20 Aug 2024
Narrowing the Focus: Learned Optimizers for Pretrained Models Gus Kristiansen Mark Sandler A. Zhmoginov Nolan Miller Anirudh Goyal Jihwan Lee Max Vladymyrov 39 1 0 17 Aug 2024
Joint-perturbation simultaneous pseudo-gradient Carlos Martin Tuomas Sandholm 41 2 0 17 Aug 2024
Learning to Explore for Stochastic Gradient MCMC Seunghyun Kim Seohyeon Jung Seonghyeon Kim Juho Lee BDL 48 1 0 17 Aug 2024
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks Guodong Du Runhua Jiang Senqiao Yang HaoYang Li Wei Chen Keren Li S. Goh Ho-Kin Tang 39 3 0 10 Aug 2024