Neuroevolution

Joel Lehman, Risto Miikkulainen

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Abstract

    Neuroevolution is a machine learning technique that applies evolutionary algorithms to construct artificial neural networks, taking inspiration from the evolution of biological nervous systems in nature. Compared to other neural network learning methods, neuroevolution is highly general; it allows learning without explicit targets, with only sparse feedback, and with arbitrary neural models and network structures. Neuroevolution is an effective approach to solving reinforcement learning problems, and is most commonly applied in evolutionary robotics and artificial life.
    Original languageEnglish
    JournalScholarpedia
    Volume8
    Issue number6
    Pages (from-to)30977
    Number of pages1
    ISSN1941-6016
    DOIs
    Publication statusPublished - 2013

    Keywords

    • Neuroevolution
    • Evolutionary algorithms
    • Artificial neural networks
    • Reinforcement learning
    • Evolutionary robotics

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