A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
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
| Title | Authors | Code | Year | | ----- | ------- | -------- | ---- | | Learning and Implementing Deep Learning Methods | Omar Awwad | not yet | 2020 | | Generating CNNs using Genetic Algorithm | Lev Martin Zachar | not yet | 2020 | | A Neuroevolutionary Approach to Evolve a Flexible Neural Controller for a Morphology Changing Quadruped Robot | -Wonho Lee | not yet | 2020 | | Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search | Hu Zhang, et al. | not yet | 2020 | | CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices | Parth Mannan, et al. | not yet | 2020 | | Using Deep Neuroevolution to train Deep Reinforcement Learning Agents | Muhammad Salik Nadeem | not yet | 2020 | | Analyzing the Components of Distributed Coevolutionary GAN Training | Jamal Toutouh, et al. | [repo] | 2020 | | 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]
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