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
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems Eseoghene Ben-Iwhiwhu Pawel Ladosz Jeffery Dick Wen‐Hua Chen Praveen K. Pilly Andrea Soltoggio 35 9 0 27 Apr 2020
A Hybrid Method for Training Convolutional Neural Networks Vasco Lopes Paulo A. P. Fazendeiro ODL 14 4 0 15 Apr 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 24 12 0 06 Apr 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 30 12 0 25 Mar 2020
Safe Crossover of Neural Networks Through Neuron Alignment Thomas Uriot Dario Izzo 21 14 0 23 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 26 111 0 18 Mar 2020
Discovering Representations for Black-box Optimization Adam Gaier A. Asteroth Jean-Baptiste Mouret DRL 25 7 0 09 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 33 86 0 03 Mar 2020
Policy Evaluation Networks J. Harb Tom Schaul Doina Precup Pierre-Luc Bacon OffRL 9 36 0 26 Feb 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization Aritz D. Martinez E. Osaba Javier Del Ser Francisco Herrera 22 10 0 25 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 27 56 0 24 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 11 9 0 21 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 23 16 0 13 Feb 2020
Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras J. Bohrer Bruno Iochins Grisci M. Dorn 15 12 0 11 Feb 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Risto Miikkulainen AAML 25 15 0 09 Feb 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 22 158 0 03 Feb 2020
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 30 4 0 29 Dec 2019
Monte-Carlo Tree Search for Policy Optimization Xiaobai Ma Katherine Driggs-Campbell Zongzhang Zhang Mykel J. Kochenderfer 20 6 0 23 Dec 2019
Learning to grow: control of material self-assembly using evolutionary reinforcement learning S. Whitelam Isaac Tamblyn 11 33 0 18 Dec 2019
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization Paolo Pagliuca Nicola Milano S. Nolfi 11 31 0 11 Dec 2019
ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning Chunnan Wang Hongzhi Wang Chang Zhou Hanxiao Chen 14 8 0 02 Dec 2019
ASCAI: Adaptive Sampling for acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 26 2 0 15 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning R. Shen Yan Zheng Jianye Hao Yinfeng Chen Changjie Fan SyDa 11 3 0 20 Oct 2019
Policies Modulating Trajectory Generators Atil Iscen Ken Caluwaerts Jie Tan Tingnan Zhang Erwin Coumans Vikas Sindhwani Vincent Vanhoucke 17 131 0 07 Oct 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning Linxi Fan Yuke Zhu Jiren Zhu Zihua Liu Orien Zeng Anchit Gupta Joan Creus-Costa Silvio Savarese Li Fei-Fei OffRL GNN 38 3 0 27 Sep 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 17 119 0 25 Sep 2019
Visualizing Movement Control Optimization Landscapes Perttu Hämäläinen Juuso Toikka Amin Babadi Karen Liu 19 7 0 17 Sep 2019
Learning Fitness Functions for Machine Programming Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich Sheng-Tian Zhou A. Muzahid 29 11 0 22 Aug 2019
Reusability and Transferability of Macro Actions for Reinforcement Learning Yi-Hsiang Chang Kuan-Yu Chang Henry Kuo Chun-Yi Lee 21 2 0 05 Aug 2019
Efficient training and design of photonic neural network through neuroevolution Tian Zhang Jia Wang Yihang Dan Yuxiang Lanqiu Jian Dai Xu Han Xiaojuan Sun Kun Xu 29 50 0 04 Aug 2019
Evolvability ES: Scalable and Direct Optimization of Evolvability A. Gajewski Jeff Clune Kenneth O. Stanley Joel Lehman 16 26 0 13 Jul 2019
An Evolutionary Algorithm of Linear complexity: Application to Training of Deep Neural Networks S. I. Valdez A. R. Domínguez ODL 14 1 0 12 Jul 2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 24 38 0 26 Jun 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 36 71 0 24 Jun 2019
Enhancing Multi-model Inference with Natural Selection Ching-Wei Cheng Guang Cheng 11 1 0 06 Jun 2019
2019 Evolutionary Algorithms Review A. Sloss Steven M. Gustafson 22 60 0 03 Jun 2019
Evolving Self-supervised Neural Networks: Autonomous Intelligence from Evolved Self-teaching N. Le SSL 7 2 0 27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning Yoni Birman Shaked Hindi Gilad Katz A. Shabtai AAML OffRL 11 2 0 25 May 2019
Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs Bryan Lim S. Zohren Stephen J. Roberts 8 2 0 23 May 2019
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 23 99 0 02 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 12 53 0 28 Apr 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning Xinlei Pan Weiyao Wang Xiaoshuai Zhang Bo-wen Li Jinfeng Yi D. Song MIACV 69 26 0 24 Apr 2019
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT James Butterworth Rahul Savani K. Tuyls 20 3 0 12 Apr 2019
Reducing catastrophic forgetting when evolving neural networks Joseph Early 19 2 0 05 Apr 2019
Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents A. Behjat Sharat Chidambaran Souma Chowdhury 14 14 0 17 Mar 2019
Gradient Descent based Optimization Algorithms for Deep Learning Models Training Jiawei Zhang 17 53 0 11 Mar 2019
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization K. Choromanski Aldo Pacchiano Jack Parker-Holder Yunhao Tang 15 1 0 07 Mar 2019