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
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research Joel Z Leibo Edward Hughes Marc Lanctot T. Graepel 27 105 0 02 Mar 2019
Neural network models and deep learning - a primer for biologists N. Kriegeskorte Tal Golan FedML HAI 6 370 0 13 Feb 2019
Guiding Neuroevolution with Structural Objectives K. Ellefsen Joost Huizinga J. Tørresen 16 10 0 12 Feb 2019
Vulnerable road user detection: state-of-the-art and open challenges Patrick Mannion 17 12 0 10 Feb 2019
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance Ethan C. Jackson Mark Daley 22 20 0 08 Feb 2019
Global convergence of neuron birth-death dynamics Grant M. Rotskoff Samy Jelassi Joan Bruna Eric Vanden-Eijnden 14 44 0 05 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 362 0 30 Jan 2019
Optimizing Deep Neural Networks with Multiple Search Neuroevolution Ahmed Aly David Weikersdorfer C. Delaunay 18 7 0 17 Jan 2019
GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving Bogdan Trasnea Andrei Vasilcoi C. Pozna Sorin Grigorescu 14 9 0 16 Jan 2019
Recurrent Control Nets for Deep Reinforcement Learning Vincent Liu Ademi Adeniji Nathaniel Lee Jason Zhao Mario Srouji 9 3 0 06 Jan 2019
Evolutionary Construction of Convolutional Neural Networks Marijn van Knippenberg Vlado Menkovski Sergio Consoli 3DV 13 2 0 02 Jan 2019
Neural Architecture Search Over a Graph Search Space Stanislaw Jastrzebski Quentin de Laroussilhe Mingxing Tan Xiao Ma N. Houlsby Andrea Gesmundo GNN 11 5 0 27 Dec 2018
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning Sirui Xie Junning Huang Lanxin Lei Chunxiao Liu Zheng Ma Wayne Zhang Liang Lin 22 8 0 21 Dec 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F. Such Vashisht Madhavan Rosanne Liu Rui Wang Pablo Samuel Castro ... Jiale Zhi Ludwig Schubert Marc G. Bellemare Jeff Clune Joel Lehman OffRL 27 54 0 17 Dec 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 47 299 0 28 Nov 2018
Genetic-Gated Networks for Deep Reinforcement Simyung Chang John Yang Jaeseok Choi Nojun Kwak AI4CE 14 16 0 26 Nov 2018
Evolutionary-Neural Hybrid Agents for Architecture Search Krzysztof Maziarz Mingxing Tan A. Khorlin Quentin de Laroussilhe Andrea Gesmundo 11 37 0 24 Nov 2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning R. Ooi Chao-Han Huck Yang Pin-Yu Chen V. Eguíluz N. Kiani Hector Zenil D. Gómez-Cabrero Jesper N. Tegnér 24 1 0 14 Nov 2018
Importance Weighted Evolution Strategies Victor Campos Xavier Giró-i-Nieto Jordi Torres 19 1 0 12 Nov 2018
Behavioural Repertoire via Generative Adversarial Policy Networks Marija Jegorova Stéphane Doncieux Timothy M. Hospedales 9 0 0 07 Nov 2018
Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks J. Caldwell R. Watson C. Thies Joshua D. Knowles 22 14 0 02 Nov 2018
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic Mark Schutera Niklas Goby Dirk Neumann Markus Reischl 21 5 0 19 Oct 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 16 89 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning Jacky Liang Viktor Makoviychuk Ankur Handa N. Chentanez Miles Macklin Dieter Fox AI4CE 27 182 0 12 Oct 2018
Why We Do Not Evolve Software? Analysis of Evolutionary Algorithms Roman V. Yampolskiy 16 8 0 12 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 551 0 12 Oct 2018
Reinforcement Learning for Improving Agent Design David R Ha 32 124 0 09 Oct 2018
Reinforcement Evolutionary Learning Method for self-learning Kumarjit Pathak Jitin Kapila 9 3 0 07 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 32 62 0 05 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 32 159 0 02 Oct 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Y. Kuniyoshi 19 3 0 18 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 40 919 0 04 Sep 2018
Importance mixing: Improving sample reuse in evolutionary policy search methods Aloïs Pourchot Nicolas Perrin Olivier Sigaud 12 14 0 17 Aug 2018
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks Nikola B. Kovachki Andrew M. Stuart BDL 42 136 0 10 Aug 2018
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware A. Samajdar Parth Mannan K. Garg T. Krishna 21 20 0 03 Aug 2018
MaskConnect: Connectivity Learning by Gradient Descent Karim Ahmed Lorenzo Torresani 22 48 0 28 Jul 2018
DLOPT: Deep Learning Optimization Library Andrés Camero J. Toutouh Enrique Alba ODL 14 7 0 10 Jul 2018
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling M. Plessen 12 1 0 05 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 31 19 0 25 Jun 2018
The Foundations of Deep Learning with a Path Towards General Intelligence Eray Özkural AI4CE 12 6 0 22 Jun 2018
Playing Atari with Six Neurons Giuseppe Cuccu Julian Togelius Philippe Cudré-Mauroux 27 43 0 04 Jun 2018
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies Nils Müller Tobias Glasmachers 33 28 0 04 Jun 2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization M. Alzantot Yash Sharma Supriyo Chakraborty Huan Zhang Cho-Jui Hsieh Mani B. Srivastava AAML 21 257 0 28 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 27 65 0 25 May 2018
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle Pérez Chico Q. Camargo A. Louis MLT AI4CE 18 226 0 22 May 2018
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation E. Haber F. Lucka Lars Ruthotto 15 32 0 21 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning Shauharda Khadka Kagan Tumer 19 224 0 21 May 2018
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization Jiawei Zhang Fisher B. Gouza ODL 9 23 0 19 May 2018
Superconducting Optoelectronic Neurons III: Synaptic Plasticity J. Shainline A. McCaughan S. Buckley C. Donnelly M. Castellanos-Beltran M. L. Schneider R. Mirin S. Nam 8 10 0 04 May 2018