Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning

Michael Kogan; Joshua Karns; Travis Desell

doi:10.1007/978-3-031-02462-7_29

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Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning

Michael Kogan Joshua Karns Travis Desell

Year: 2022 Lecture notes in computer science Pages: 452-467 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-02462-7_29

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Keywords:

Neuroevolution Reinforcement learning Computer science Hyperparameter Artificial intelligence Crossover Evolutionary algorithm Adaptation (eye) Artificial neural network Process (computing) Set (abstract data type) Machine learning Algorithm

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Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning

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