Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

18 December 2017

Jeff Clune

Papers citing "Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning"

50 / 276 papers shown

Title
Benchmarking MOEAs for solving continuous multi-objective RL problems Carlos Hernández Roberto Santana 2 0 0 19 May 2025
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics Conor F. Hayes Felipe Leno Da Silva Jiachen Yang T. Nathan Mundhenk Chak Shing Lee ... Ahmet Can Solak Thomas Desautels Daniel Faissol Brenden K. Petersen Mikel Landajuela 22 0 0 16 May 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Hongshu Guo Wenjie Qiu Zeyuan Ma Jiahui Geng Jun Zhang Jiawei Liu 54 1 0 24 Apr 2025
Evolutionary Policy Optimization Zelal Su "Lain" Mustafaoglu Keshav Pingali Risto Miikkulainen 31 0 0 17 Apr 2025
TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies Lishuang Wang Mengfei Zhao Enyu Liu Kebin Sun Ran Cheng 49 0 0 11 Apr 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 88 2 0 22 Jan 2025
Learning Evolution via Optimization Knowledge Adaptation Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Fang Liu Steve Yang 43 1 0 04 Jan 2025
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 59 5 0 03 Jan 2025
Unlocking the Potential of Global Human Expertise Elliot Meyerson Olivier Francon Darren Sargent B. Hodjat Risto Miikkulainen 47 45 0 31 Oct 2024
An Introduction to Quantum Reinforcement Learning (QRL) Samuel Yen-Chi Chen 45 0 0 09 Sep 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 95 3 0 20 Aug 2024
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning So Nakashima Tetsuya J. Kobayashi 28 1 0 18 Aug 2024
Graph Neural Networks as Ordering Heuristics for Parallel Graph Coloring Kenneth Langedal Fredrik Manne GNN 27 0 0 09 Aug 2024
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning Michael Kölle Daniel Seidl Maximilian Zorn Philipp Altmann Jonas Stein Thomas Gabor 25 0 0 02 Aug 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
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 49 4 0 21 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
Creative Text-to-Audio Generation via Synthesizer Programming Manuel Cherep Nikhil Singh Jessica Shand 30 3 0 01 Jun 2024
Mimicry and the Emergence of Cooperative Communication Dylan R. Cope Peter McBurney 35 0 0 26 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
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies Bala McRae-Posani Andrei Holodny H. Shalu J. Stember MedIm 146 0 0 12 Apr 2024
Gradient-free neural topology optimization Gaweł Kuś Miguel A. Bessa AI4CE 35 0 0 07 Mar 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
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning Yoshiki Takagi Roderick S. Tabalba Nurit Kirshenbaum Jason Leigh 14 0 0 05 Feb 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
Deep Generative Symbolic Regression Samuel Holt Zhaozhi Qian M. Schaar 25 28 0 30 Dec 2023
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 42 20 0 19 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
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation Li Ding M. Zoghi Guy Tennenholtz Maryam Karimzadehgan 26 0 0 29 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning Atik Faysal Mohammad Rostami Huaxia Wang Avimanyu Sahoo Ryan Antle 19 0 0 19 Oct 2023
Evolving generalist controllers to handle a wide range of morphological variations Corinna Triebold Anil Yaman 25 2 0 18 Sep 2023
Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning Jack Garbus Jordan Pollack 22 0 0 04 Jul 2023
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search Bruno Gašperov Marko Đurasević 19 0 0 16 Jun 2023
A Melting Pot of Evolution and Learning Moshe Sipper Achiya Elyasaf Tomer Halperin Zvika Haramaty Raz Lapid Eyal Segal Itai Tzruia Snir Vitrack Tamam BDL 25 0 0 08 Jun 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks Jiangrong Shen Qi Xu Jian K. Liu Yueming Wang Gang Pan Huajin Tang 27 42 0 06 Jun 2023
Generating Private Synthetic Data with Genetic Algorithms Terrance Liu Jin-Lin Tang G. Vietri Zhiwei Steven Wu SyDa 21 16 0 05 Jun 2023
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability R. T. Lange Henning Sprekeler 19 2 0 31 May 2023
Evolving Connectivity for Recurrent Spiking Neural Networks Guan-Bo Wang Yuhao Sun Sijie Cheng Sen Song 22 5 0 28 May 2023
Learning-Based Automatic Synthesis of Software Code and Configuration Shantanu Mandal 32 0 0 25 May 2023
Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning Andrei Kucharavy R. Guerraoui Ljiljana Dolamic 32 1 0 20 May 2023
How to train your demon to do fast information erasure without heat production S. Whitelam 17 5 0 17 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 29 0 0 10 May 2023
Evolution under Length Constraints for CNN Architecture design Ousmane Youme J. Dembele E. C. Ezin C. Cambier 3DV 36 1 0 05 May 2023
Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language Yingtao Tian 24 1 0 24 Apr 2023
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search Andrei Kucharavy M. Monti R. Guerraoui Ljiljana Dolamic 40 1 0 20 Apr 2023
PopulAtion Parameter Averaging (PAPA) Alexia Jolicoeur-Martineau Emy Gervais Kilian Fatras Yan Zhang Simon Lacoste-Julien MoMe 42 17 0 06 Apr 2023
Generative Adversarial Neuroevolution for Control Behaviour Imitation Maximilien Le Clei Pierre C. Bellec 19 0 0 03 Apr 2023
Neuroevolution of Recurrent Architectures on Control Tasks Maximilien Le Clei Pierre C. Bellec 11 4 0 03 Apr 2023
Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master Maximilien Le Clei 21 0 0 03 Apr 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 45 52 0 07 Mar 2023