Awesome Deep Neuroevolution

A collection of Deep Neuroevolution and evolutionary computation resources. Inspired by awesome-deep-learning-papers, awesome-meta-learning, the early paper by OpenAI-Evolution Strategies and the amazing work from Uber AI Labs blog

A good survey of Deep Reinforcement Learning: A Brief Survey of Deep Reinforcement Learning

Table of Contents

• Papers
• Conferences
• Tutorials
• Resources
• Researchers

Papers

Title	Authors	Code	Year
Developmental neuronal networks as models to study the evolution of biological intelligence	Arend Hintze, et al.	not yet	2020
CoNES: Convex Natural Evolutionary Strategies	Sushant Veer and Anirudha Majumdar	[repo]	2020
One-Shot Neural Architecture Search via Novelty Driven Sampling	Miao Zhang, et al.	[repo]	IJCAI-20
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks	Chloe M. Barnes, et al.	not yet	2020
An adaptive neuroevolution-based hyperheuristic	Etor Arza, et al.	repo	GECCO ’20
Learning to walk - reward relevance within an enhanced neuroevolution approach	I. Colucci, et al.	not yet	GECCO ’20
Evolving neural network agents to play atari games with compact state representations	Adam Tupper, et al.	not yet	GECCO ’20
Online NEAT for Credit Evaluation - a Dynamic Problem with Sequential Data	Yue Liu, et al.	not yet	2020
Exploring the evolution of GANs through quality diversity	Victor Costa, et al.	[repo]	GECCO ’20
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation	AbdElRahman ElSaid, et al.	[repo]	GECCO ’20
Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies	Yunhao Tang and Krzysztof Choromanski	not yet	2020
NEUROEVOLUTIONARY TRANSFER LEARNING OF DEEP RECURRENT NEURAL NETWORKS THROUGH NETWORK-AWARE ADAPTATION	AbdElRahman ElSaid, et al.	not yet	2020
Combining a gradient-based method and an evolution strategy for multi-objective reinforcement learning	Diqi Chen, et al.	not yet	2020
Efficient Architecture Search for Deep Neural Networks	Ram Deepak Gottapu and Cihan H Dagli	not yet	2020
Evolutionary Automation of Coordinated Autonomous Vehicles	Allen Huang and Geoff Nitschke	not yet	2020
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search	Aditya Rawal	not yet	2020
TRAINING ADAPTABLE NEURAL NETWORKS BASED ON EVOLVABILITY SEARCH	Gajewski, Alexander P, et al.	not	2020
IMPROVING NEUROEVOLUTION USING ISLAND EXTINCTION AND REPOPULATION	Zimeng Lyu, et al.	[repo]	2020
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning	Qian LONG	not	Master Thesis 2020
Novelty Search makes Evolvability Inevitable	Stephane Doncieux, et al.	[repo]	GECCO 2020
Genetic Deep Reinforcement Learning for Mapless Navigation	Enrico Marchesini and Alessandro Farinelli	not yet	AAMAS 2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems	Alexis Asseman, et al.	[repo]	2020 IBM Almaden Research Center
A Hybrid Method for Training Convolutional Neural Networks	Vasco Lopes and Paulo Fazendeiro	noy yet	2020
An Effective Maximum Entropy Exploration Approach for Deceptive Game in Reinforcement Learning	Chunmao Lin, et al.	not yet	Neurocomputing 2020
A Comparison of Evolutionary and Tree-Based Approaches for Game Feature Validation in RealTime Strategy Games with a Novel Metric	Damijan Novak, et al.	not yet	2020
First return then explore	Adrien Ecoffet*, Joost Huizinga∗, Joel Lehman, Kenneth O. Stanley & Jeff Clune	[repo]	2020
Neuromodulated multiobjective evolutionary neurocontrollers without speciation	Ian Showalter and Howard M. Schwartz	not yet	Evolutionary Intelligence (2020)
PBCS: Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning	Guillaume Matheron, et al.	not yet	2020
Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover	Hao Tan, et al.	not yet	BIC-TA 2020
Diversity Preservation in Minimal Criterion Coevolution through Resource Limitation	Jonathan C. Brant and Kenneth O. Stanley	not yet	GECCO 2020
Meta-Learning in Neural Networks: A Survey	Timothy Hospedales, et al.	not, survey	2020
Improving Deep Reinforcement Learning with Advanced Exploration and Transfer Learning Techniques	HAIYAN YIN	not, PhD Thesis	2020
Using Skill Rating as Fitness on the Evolution of GANs	Vitor Costa	not yet	EvoApplications 2020
ModuleNet: Knowledge-inherited Neural Architecture Search	Yaran Chen, et al.	repo	2020
The Expense of Neuro-Morpho Functional Machines	Scott Hallauer and Geoff Nitschke	repo	2020
Adversarial genetic programming for cyber security: a rising application domain where GP matters	Una-May O’Reilly, et al.	not yet	Genetic Programming and Evolvable Machines 2020
Evolutionary recurrent neural network for image captioning	Hanzhang Wang, et al.	not yet	Neurocomputing 2020 Elsevier
Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search	Vladislav Kurenkov, et al.	not yet	2020
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution	Filipe Assunção, et al.	not yet	2020
Incremental Evolution and Development of Deep Artificial Neural Networks	Filipe Assunção, et al.	repo	2020
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks	Jacob Schrum, et al.	repo	GECCO 2020
EvoU–Net: An Evolutionary Deep Fully Convolutional NeuralNetwork for Medical Image Segmentation	Tahereh Hassanzadeh, et al.	not yet	2020 ACM
Understanding Features on Evolutionar y Policy Optimizations	Sangyeop Lee, et al.	not yet	2020 ACM
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods	Jiale Zhi, et al.	not yet	2020
EVOLUTIONARY POPULATION CURRICULUM FOR SCALING MULTI-AGENT REINFORCEMENT LEARNING	Qian Long, et al.	repo	ICLR 2020
Optimisation of Phonetic Aware Speech Recognition through Multi-objective Evolutionary Algorithms	Jordan J. Bird, et al.	not yet	Elsevier
A Brain-Inspired Framework for Evolutionary Artificial General Intelligence	Mohammad Nadji-Tehrani, et al.	not yet	2020
The use of Genetic Programming for detecting the incorrect predictions of Classification Models	Adrianna Maria Napiórkowska	not, Master thesis	2020
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm	AYLA GÜLCÜ and ZEKI KUŞ	not yet	2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions	Rui Wang, et al.	not yet	2020
Neuroevolution of Self-Interpretable Agents	Yujin Tang, et al.	repo	2020
META-LEARNING CURIOSITY ALGORITHMS	Ferran Alet, et al.	repo	ICLR 2020
Learning feature spaces for regression with genetic programming	William La Cava and Jason H. Moore	not yet	Genetic Programming and Evolvable Machines (2020)
Artificial Neural Network Trained by Plant Genetic-Inspired Optimizer	Neeraj Gupta, et al.	not yet	Frontier Applications of Nature Inspired Computation 2020
Action Unit Analysis Enhanced Facial Expression Recognition by Deep Neural Network Evolution	Ruicong Zhi, et al.	not yet	Neurocomputing 2020 Elsevier
Coping with opponents: multi-objective evolutionary neural networks for fighting games	Steven Kunzel and Silja Meyer-Nieberg	not yet	Neural Computing and Applications (2020)
Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs	Jesse J. Hagenaars, et al.	repo	2020
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation	Douglas Morrison, et al.	code-blog	2020
Scaling MAP-Elites to Deep Neuroevolution	Cedric Colac, et al.	not yet	2020
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity	Aditya Rawal, Jeff Clune, Kenneth O. Stanley	not yet	2020
AN EVOLUTIONARY DEEP LEARNING METHOD FOR SHORT-TERM WIND SPEED PREDICTION: A CASE STUDY OF THE LILLGRUND OFFSHORE WIND FARM	Mehdi Neshat, et al.	not yet	2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy	Jiaxin Zhang, et al.	not yet	2020
Comparison Between Stochastic Gradient Descent and VLE Metaheuristic for Optimizing Matrix Factorization	Juan A. Gómez-Pulido, et al.	not yet	OLA 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription	Olivier Francon, et al.	not yet	2020
Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks	Audrey Chung	Master Thesis	2020
NEUROEVOLUTION OF NEURAL NETWORK ARCHITECTURES USING CODEEPNEAT AND KERAS	Jonas da Silveira Bohrer, et al.	repo	2020
Horizontal gene transfer for recombining graphs	Timothy Atkinson, et al.	repo	Genetic Programming and Evolvable Machines (2020)
Evolutionary music: applying evolutionary computation to the art of creating music	Roisin Loughran, et al.	not yet	Genetic Programming and Evolvable Machines (2020)
Improving the Performance of Evolutionary Algorithms via Gradient-Based Initialization	Chris Waites, et al	not yet	2020
Evolving Loss Functions With Multivariate Taylor Polynomial Parameterizations	Santiago Gonzalez and Risto Miikkulainen	repo	2020
Evolving Neural Networks through a Reverse Encoding Tree	Haoling Zhang, et al.	repo	2020
Evolutionary LSTM-FCN networks for pattern classification in industrial processes	Patxi Ortego, et al.	not yet	Swarm and Evolutionary Computation, May 2020
Evolving deep neural networks using coevolutionary algorithms with multi-population strategy	Sreenivas Sremath Tirumala	not yet	Neural Computing and Applications 2020
Hierarchy and co-evolution processes in urban systems	Juste Raimbault	repo	2020
A Study of Fitness Landscapes for Neuroevolution	Nuno M. Rodrigues, et al.	not yet	2020
Combining Evolution and Learning in Computational Ecosystems	Claes Strannegård, et al.	not yet	2020
Examining Hyperparameters of Neural Networks Trained Using Local Search	Ahmed Aly, et al.	not yet	2020
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation	Tianhong Dai, et al.	not yet	2020
POPULATION-GUIDED PARALLEL POLICY SEARCH FOR REINFORCEMENT LEARNING	Whiyoung Jung, et al.	repo	ICLR 2020
IMPROVING DEEP NEUROEVOLUTION VIA DEEP INNOVATION PROTECTION	Sebastian Risi and Kenneth O. Stanley	repo	2020
Evolutionary NetArchitecture Search for Deep Neural Networks Pruning	Shuxin Chen, et al.	not yet	2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence	Jeff Clune	not yet	2019
Differential Evolution for Neural Networks Optimization	Marco Baioletti, et al.	not yet	Mathematics 2020
Neuro-Evolution Search Methodologies for Collective Self-Driving Vehicles	Chien-Lun (Allen) Huang	Master thesis	2019
Using Neuroevolved Binary Neural Networks to solve reinforcement learning environments	Raul Valencia, et al.	not yet	2019 IEEE APCCAS
Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller	Ashley Hill, et al	not yet	ICINCO 2019
Learning to grow: control of materials self-assembly using evolutionary reinforcement learning	Stephen Whitelam, et al.	not yet	2019
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level	Paul Bertens, et al.	not yet	2019
GENERATIVE TEACHING NETWORKS: ACCELERATING NEURAL ARCHITECTURE SEARCH BY LEARNING TO GENERATE SYNTHETIC TRAINING DATA	Felipe Petroski Such, et al.	not yet	2019
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization	Paolo Pagliuca, et al.	not yet	2019
GAIM: A C++ library for Genetic Algorithms and Island Models	Georgios Detorakis, et al.	[repo]	JOSS 2019
Dynamic Facial Feature Learning by Deep Evolutionary Neural Networks	Ruicong Zhi, et al.	not yet	CyberDI 2019
Automatic Design of Convolutional Neural Networks using Grammatical Evolution	Ricardo Henrique Remes de Lima, et al.	not yet	BRACIS 2019
Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency	Daniela Szwarcman, et al	noy yet	BRACIS 2019
An Evolutionary Approach to Compact DAG Neural Network Optimization	Carter Chiu, et al.	not yet	2019
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks	Zhichao Lu, et al.	[repo]	2019
A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization	Dipti Kapoor Sarmah	not yet	Optimization in Machine Learning and Applications
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design	William Irwin-Harris, et al.	not yet	2019 IEEE Congress on Evolutionary Computation (CEC)
Auto-creation of Effective Neural Network Architecture by Evolutionary Algorithm and ResNet for Image Classification	Zefeng Chen, et al.	not yet	2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
Evolving Knowledge And Structure Through Evolution-based Neural Architecture Search	Magnus Poppe Wang	not	Master Thesis 2019
Procedural Generation of Quests for Games Using Genetic Algorithms and Automated Planning	Edirlei Soares de Lima, et al.	not yet	SBGames 2019
Culturally Evolved GANs for generating Fake Stroke Faces	Kaitav Mehta, et al.	code not yet	2019
Neuroevolutionary Training of Deep Convolutional Generative Adversarial Networks	Kaitav Mehta	not	Master Thesis 2019
UMA ESTRUTURA PARA EXECUCAO DE REDES NEURAIS EVOLUTIVAS NA GPU	Jorge Rama Krsna Mandoju	not	Master Thesis 2019
An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue	Norman Packard, et al.	not yet	2019
Deep neural network architecture search using network morphism	Arkadiusz Kwasigroch, et al.	[repo]	2019
Neuroevolutive Algorithms for Learning Gaits in Legged Robots	Pablo Reyes, et al.	not yet	2019
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control	Jörg K.H. Franke and Gregor Koehler, et al.	not yet	2019
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling	Heung-Chang Lee, et al.	repo	2019
ES-MAML: Simple Hessian-Free Meta Learning	Xingyou Song, et al.	not yet	2019
Empirical study on the performance of Neuro Evolution of Augmenting Topologies (NEAT)	Domen Vake, et al.	repo	2019
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions	Florian Meier and Asier Mujika	not yet	2019
Algebraic Neural Architecture Representation, Evolutionary Neural Architecture Search, and Novelty Search in Deep Reinforcement Learning	Ethan C. Jackson	not	PhD Thesis 2019
GACNN: TRAINING DEEP CONVOLUTIONAL NEURAL NETWORKS WITH GENETIC ALGORITHM	Parsa Esfahanian and Mohammad Akhavan	not yet	2019
Implicit Multi-Objective Coevolutionary Algorithms	Adefunke Akinola	not	Master Thesis 2019
CEM-RL: Combining evolutionary and gradient-based methods for policy search	Aloïs Pourchot, Olivier Sigaud	repo	ICLR 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution	Thomas Elsken, Jan Hendrik Metzen, Frank Hutter	openreview	2018, ICLR2019
Exploring Randomly Wired Neural Networks for Image Recognition	Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He	not yet	2019
Designing neural networks through neuroevolution	Kenneth O. Stanley, Jeff Clune, Joel Lehman and Risto Miikkulainen	it is a letter	Nature machine intelligence January 2019
Guided evolutionary strategies: escaping the curse of dimensionality in random search	Niru Maheswaranathan, Luke Metz, George Tucker, Dami Choi, Jascha Sohl-Dickstein	repo	ICML 2019
Collaborative Evolutionary Reinforcement Learning	Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer	blog	ICML 2019
Trust Region Evolution Strategies	Guoqing Liu et al.	not yet	AAAI 2019
Deep Neuroevolution of Recurrent and Discrete World Models	Sebastian Risi, Kenneth O. Stanley	repo	2019
Proximal Distilled Evolutionary Reinforcement Learning	Cristian Bodnar, Ben Day, Pietro Lio'	not yet	AAAI 2019
POET: open-ended coevolution of environments and their optimized solutions	Rui Wang, Joel Lehman, Jeff Clune and Kenneth O. Stanley	not yet	GECCO 2019
COEGAN: evaluating the coevolution effect in generative adversarial networks	V. Costa, N. Lourenço, J. Correia, and P. Machado	repo	GECCO 2019
Evolution and self-teaching in neural networks: another comparison when the agent is more primitively conscious	Nam Le	not yet	GECCO 2019
Diverse Agents for Ad-Hoc Cooperation in Hanabi	Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel	not yet	CoG 2019
EPNAS: Efficient Progressive Neural Architecture Search	Yanqi Zhou, Peng Wang, Sercan Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos	not yet	2019
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition	Xiaodong Cui, Michael Picheny (IBM Research)	not yet	Interspeech 2019
Fast DENSER: Efficient Deep NeuroEvolution	Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro	repo	EuroGP 2019
AlphaStar: An Evolutionary Computation Perspective	Kai Arulkumaran, Antoine Cully, Julian Togelius	not yet	GECCO 2019
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection	Filipe Assunção, João Correia, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Nuno Lourenço, Penousal Machado	not yet	2019
Evolvability ES: Scalable and Direct Optimization of Evolvability	Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman	repo	GECCO 2019
Towards continual reinforcement learning through evolutionary meta-learning	Djordje Grbic and Sebastian Risi	not yet	GECCO 2019
Automated Neural Network Construction with Similarity Sensitive Evolutionary Algorithms	Haiman Tian et al.	not yet	2019
Provably Robust Blackbox Optimization for Reinforcement Learning	Krzysztof Choromanski, Aldo Pacchiano et al.	not yet	2019
Go-Explore: a New Approach for Hard-Exploration Problems	Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune	not yet	2019
Culturally Evolved GANs for Generating Fake Stroke Faces	Kaitav Mehta et al.	not yet	ICTS4eHealth'19
An Evolution Strategy with Progressive Episode Lengths for Playing Games	Lior Fuks, Noor Awad , Frank Hutter and Marius Lindauer	repo	IJCAI 2019
On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman	Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor	not yet	2019
A Knee-Guided Evolutionary Algorithm for Compressing Deep Neural Networks	Yao Zhou, et al.	not yet	2019
Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks	Shota Imai et al.	not yet	In book: Big Data, Cloud Computing, and Data Science Engineering 2019
Evolutionary deep learning	E Dufourq	not	PhD thesis 2019
Guiding Evolutionary Strategies with Off-Policy Actor-Critic	Yunhao Tang	not yet	2019
Construction of Macro Actions for Deep Reinforcement Learning	Yi-Hsiang Chang, Kuan-Yu Chang, Henry Kuo, Chun-Yi Lee	not yet	2019
Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm	Ali Bakhshi, et al.	not yet	CEC 2019
Memetic Evolution Strategy for Reinforcement Learning	Xinghua Qu, et al.	not yet	2019
Epigenetic evolution of deep convolutional models	Alexander Hadjiivanov and Alan Blair	not yet	CEC 2019
A CROSS-DATA SET EVALUATION OF GENETICALLY EVOLVED NEURAL NETWORK ARCHITECTURES	Ben Gelman	not yet	Master Thesis 2019
Architecture Search by Estimation of Network Structure Distributions	Anton Muravev, et al.	not yet	2019
Evolving unsupervised neural networks for Slither.io	Mitchell Miller, et al.	Slither.io	FDG 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research	Prasanna Balaprakash and Romain Egele, et al.	not yet	2019
Using Neuroevolution for Predicting Mobile Marketing Conversion	Pedro José Pereira, et al.	not yet	LNCS, volume 11805
A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning	Zefeng Chen, et al.	not yet	IJCAI-19
Evolution of Kiting Behavior in a Two Player Combat Problem	Pavlos Androulakakis and Zachariah E. Fuchs	not yet	IEEE COG 2019
Learning to Select Mates in Evolving Non-playable Characters	Dylan R. Ashley, et al.	not yet	IEEE COG 2019
MULTI-SPECIES EVOLUTIONARY ALGORITHMS FOR COMPLEX OPTIMISATION PROBLEMS	XIAOFEN LU	not yet	PhD thesis at University of Birmingham
ATTRACTION-REPULSION ACTOR-CRITIC FOR CONTINUOUS CONTROL REINFORCEMENT LEARNING	Thang Doan and Bogdan Mazoure, et al.	not yet	2019
Comparative Study of Neuro-Evolution Algorithms in Reinforcement Learning for Self-Driving Cars	Ahmed AbuZekry, et al.	not yet	2019
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution	Travis J. Desell, et al.	repo	2019
THE ANT SWARM NEURO-EVOLUTION PROCEDURE FOR OPTIMIZING RECURRENT NETWORKS	AbdElRahman A. ElSaid, et al.	not yet	2019
Correlation Analysis-Based Neural Network Self-Organizing Genetic Evolutionary Algorithm	ZENGHAO CHAI, et al.	not yet	IEEE Access 2019
Learning Task-specific Activation Functions using Genetic Programming	Mina Basirat and Peter M. Roth	repo	2019
A HYBRID NEURAL NETWORK AND GENETIC PROGRAMMING APPROACH TO THE AUTOMATIC CONSTRUCTION OF COMPUTER VISION SYSTEMS	Cameron P. Kyle-Davidson	not	Master Thesis 2019
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance	Ethan C. Jackson and Mark Daley	repo	Submitted to GECCO 2019
Playing Atari with Six Neurons	Giuseppe Cuccu, Julian Togelius, Philippe Cudre-Mauroux	[repo]	2018, AAMAS 2019
Simple random search provides a competitive approach to reinforcement learning	Horia Mania, Aurelia Guy, Benjamin Recht	[repo]	2018
Regularized Evolution for Image Classifier Architecture Search	Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V Le	repocolab	2018, AAAI 2019
Evolution-Guided Policy Gradient in Reinforcement Learning	Shauharda Khadka, Kagan Tumer	repo	NIPS 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks	Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny	not yet	NIPS 2018
Experimental Evaluation of Metaheuristic Optimization of Gradients as an Alternative to Backpropagation	Oleksandr Zavalnyi et al.	not yet	2018
Evolution Strategies as a Scalable Alternative to Reinforcement Learning	Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, Ilya Sutskever	[repo] [blog]	2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune	[repo] [blog]	2017
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients	Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley	repo	2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents	Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune	repo	2017, NIPS 2018
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent	Xingwen Zhang, Jeff Clune, Kenneth O. Stanley	blog	2017
ES Is More Than Just a Traditional Finite-Difference Approximator	Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley	blog	2017

Conferences

• Genetic and evolutionary computation
  • GECCO
  • CEC
• Machine learning
  • ICLR
• Artificial intelligence
  • AAAI
  • IJCAI
• Games
  • IEEE-COG

Tutorials

• Paper experiments replication: Deep Neuroevolution Uber
• Genetic Algorithm for 2D function-Matlabgithub

Resources

• VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution by Uber AI Labs.
• EvoGrad: A Lightweight Library for Gradient-Based Evolution by Uber AI Labs.
• POET by Uber AI Labs.
• Nevergrad - A gradient-free optimization platform by Facebook Research.

Researchers

• Kenneth O. Stanley- Uber AI Labs.
• Jeff Clune- Open AI.
• Risto Miikkulainen- University of Texas at Austin.
• Nuno Lourenço- University of Coimbra.

Know of a recent paper? Send a pull request or open an issue! 👍