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Efficient reinforcement learning through symbiotic evolution
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Increased learning rates through the sharing of experiences of multiple autonomous mobile robot agents
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A novel evolution learning for recurrent wavelet-based neuro-fuzzy networks
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Symbiotic neuron evolution of a neural-network-aided grey model for time series prediction
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Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach
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A general framework for cooperative co-evolutionary algorithms: a society model
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Hierarchical evolution of neural networks
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Improving NEAT for Constrained Workload Scheduling via Adaptive Dual-Space Neuroevolution (NEADS)
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Reinforcement self-adaptive evolutionary algorithm for fuzzy systems design
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A new self-learning algorithm of neural networks and its application
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Efficient Prediction of Dynamic Tariff in Smart Grid Using CGP Evolved Artificial Neural Networks
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Evolutionary artificial neural networks for competitive learning
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Variable-Length Chromosome for Optimizing the Structure of Recurrent Neural Network
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Accelerated reinforcement learning control using modified CMAC neural networks
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ADGA-NAS: Auto-Diversified Genetic Algorithm Based Neural Architecture Search Framework for Automated Classification of Breast Cancer
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A rule-based symbiotic modified differential evolution for self-organizing neuro-fuzzy systems
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Obstacle avoidance algorithm based on biological patterns for anthropomorphic robot manipulator
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Creating melodies with evolving recurrent neural networks
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Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison
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Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model
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Electrical load forecasting using fast learning recurrent neural networks
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An evolutionary optimization framework for neural networks and neuromorphic architectures
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Evolving artificial neural network using simple augmenting weight matrix method
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A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
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Nonlinear System Control Using a Recurrent Neural Fuzzy Network Based on Reinforcement Particle Swarm Optimization
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Genetic Takagi-Sugeno fuzzy reinforcement learning
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An ENA-based strategy replacing subobjectives definition in incremental learning
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Neural Networks Elitist Evolution
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Modified Symbiotic Evolutionary Learning for Type-2 Fuzzy System
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An evolutionary approach to training feedforward and recurrent neural networks
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The 2017 IEEE International Conference on Fuzzy Systems
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Evolving neural network as a decision support system — Controller for a game of “2048” case study
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A comparison between FS-NEAT and FD-NEAT and an investigation of different initial topologies for a classification task with irrelevant features
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The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT
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Coevolution of Role-Based Cooperation in Multiagent Systems
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Real-Time Neuroevolution in the NERO Video Game
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An Integrated Neuroevolutionary Approach to Reactive Control and High-Level Strategy
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Combination of online clustering and Q-value based GA for reinforcement fuzzy system design
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Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neurofuzzy Systems
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Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
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Using an Efficient Immune Symbiotic Evolution Learning for Compensatory Neuro-Fuzzy Controller
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Evasive Active Hypothesis Testing With Deep Neuroevolution: The Single- and Multi-Agent Cases
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COVNET: a cooperative coevolutionary model for evolving artificial neural networks
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A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design
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A study of evolutionary multiagent models based on symbiosis
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Genetic Recurrent Fuzzy System by Coevolutionary Computation With Divide-and-Conquer Technique
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Soft sensor of naphtha dry point based on adaptive immune clustering RBF networks assembly
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Application of artificial neural networks for feature recognition in image registration
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The effect of phenotypic plasticity on evolution in multipeaked fitness landscapes
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Application of Symbiotic Evolution‐based Fuzzy Neural Networks to Fault Diagnosis of Marine Propulsion Systems
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Look before we leap: reinforced active sampling framework for image classification
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Construction of self-learning fuzzy controllers using autonomous adaptive control methodology
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NEOCOGNITRON'S PARAMETER TUNING BY GENETIC ALGORITHMS
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Optimization of Fuzzy Logic Controllers with Rule Base Size Reduction using Genetic Algorithms
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Co-evolving recurrent neurons learn deep memory POMDPs
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Modeling systems with internal state using evolino
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Comparing evolutionary and temporal difference methods in a reinforcement learning domain
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