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
Evolutionary Augmentation Policy Optimization for Self-supervised Learning Noah Barrett Zahra Sadeghi Stan Matwin 30 3 0 02 Mar 2023
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments Hamon Gautier Eleni Nisioti Clément Moulin-Frier 31 2 0 18 Feb 2023
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning Mohamed Elsayed A. R. Mahmood CLL 21 6 0 07 Feb 2023
evosax: JAX-based Evolution Strategies R. T. Lange 38 54 0 08 Dec 2022
Can Evolutionary Clustering Have Theoretical Guarantees? Chao Qian 26 3 0 04 Dec 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Tom Zahavy Valenti Dallibard Chris Xiaoxuan Lu Satinder Singh Sebastian Flennerhag 44 47 0 21 Nov 2022
Demon in the machine: learning to extract work and absorb entropy from fluctuating nanosystems S. Whitelam 11 7 0 20 Nov 2022
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI Emily Halina Matthew J. Guzdial 30 3 0 04 Nov 2022
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning Manon Flageat Bryan Lim Luca Grillotti Maxime Allard Simón C. Smith Antoine Cully 24 14 0 04 Nov 2022
Synthesizing Programs with Continuous Optimization Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich A. Muzahid 19 2 0 02 Nov 2022
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 29 24 0 26 Oct 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains Manon Flageat Félix Chalumeau Antoine Cully 31 26 0 24 Oct 2022
A Scalable Finite Difference Method for Deep Reinforcement Learning Matthew Allen John C. Raisbeck Hakho Lee 16 0 0 14 Oct 2022
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning Thomas Mullor David Vigouroux Louis Bethune 16 0 0 13 Oct 2022
Human-level Atari 200x faster Steven Kapturowski Victor Campos Ray Jiang Nemanja Rakićević Hado van Hasselt Charles Blundell Adria Puigdomenech Badia OffRL 52 28 0 15 Sep 2022
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution Eyal Segal Moshe Sipper 14 2 0 08 Sep 2022
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh OffRL 19 10 0 25 Aug 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 33 26 0 27 Jul 2022
Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming Kazuya Horibe Kathryn Walker Rasmus Berg Palm Shyam Sudhakaran S. Risi 11 9 0 14 Jun 2022
Balancing Profit, Risk, and Sustainability for Portfolio Management Charl Maree C. Omlin 27 9 0 06 Jun 2022
Model-Free Opponent Shaping Chris Xiaoxuan Lu Timon Willi Christian Schroeder de Witt Jakob N. Foerster 27 42 0 03 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 26 324 0 02 May 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning Konstantin Sozykin Andrei Chertkov R. Schutski Anh-Huy Phan A. Cichocki Ivan Oseledets 14 35 0 30 Apr 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata Elias Najarro Shyam Sudhakaran Claire Glanois S. Risi 36 14 0 25 Apr 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention F. Pigozzi Yujin Tang Eric Medvet David R Ha 44 22 0 13 Apr 2022
Effective Mutation Rate Adaptation through Group Elite Selection Akarsh Kumar B. Liu Risto Miikkulainen Peter Stone 11 10 0 11 Apr 2022
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution J. Stember R. Young H. Shalu MedIm 11 3 0 24 Mar 2022
Multitask Neuroevolution for Reinforcement Learning with Long and Short Episodes Nick Zhang Abhishek Gupta Zefeng Chen Yew-Soon Ong 27 7 0 21 Mar 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 29 7 0 28 Feb 2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) Elliot Meyerson Xin Qiu Risto Miikkulainen 27 4 0 19 Feb 2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost A. Khalili A. Bouchachia 17 0 0 12 Feb 2022
EvoJAX: Hardware-Accelerated Neuroevolution Yujin Tang Yingtao Tian David R Ha 46 42 0 10 Feb 2022
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems Yuheng Lei Jianyu Chen Guojian Zhan Tao Zhang Jiangtao Li Jianyu Chen Shengbo Eben Li Sifa Zheng OffRL 23 2 0 29 Jan 2022
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators Sheng-Chun Kao Michael Pellauer A. Parashar T. Krishna 27 29 0 26 Jan 2022
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks Tarek Faycal Claudio Zito 9 2 0 13 Jan 2022
Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees Tarek Faycal Claudio Zito OffRL 14 2 0 12 Jan 2022
Evolutionary Action Selection for Gradient-based Policy Learning Yan Ma T. Liu Bingsheng Wei Yi Liu Kang Xu Wei Li 26 8 0 12 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Hybrid Self-Attention NEAT: A novel evolutionary approach to improve the NEAT algorithm Saman Khamesian H. Malek 18 3 0 07 Dec 2021
NEORL: NeuroEvolution Optimization with Reinforcement Learning M. Radaideh Katelin Du Paul Seurin Devin Seyler Xubo Gu Haijiang Wang K. Shirvan OffRL 28 6 0 01 Dec 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification L. Pan Longbo Huang Tengyu Ma Huazhe Xu OffRL OnRL 35 51 0 22 Nov 2021
Quadratic speedup of global search using a biased crossover of two good solutions Takuya Isomura 7 0 0 15 Nov 2021
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio Santiago Daniel Faissol Brenden K. Petersen 38 87 0 29 Oct 2021
Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm Arash Saeidpour P. Rohani 7 2 0 23 Oct 2021
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation Victor Villin Naoki Masuyama Yusuke Nojima 22 2 0 15 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 55 0 28 Sep 2021
A Continuous Optimisation Benchmark Suite from Neural Network Regression K. Malan C. Cleghorn ODL 19 0 0 12 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 82 0 01 Sep 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 33 7 0 16 Aug 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021