| 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 |
