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Filtering by: Subject Mathematical optimization Remove constraint Subject: Mathematical optimization Contributor advisor sim Fern, Alan Remove constraint Contributor advisor sim: Fern, Alan Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Bayesian methods for knowledge transfer and policy search in reinforcement learning

    Creator:
    Wilson, Aaron
    Abstract:
    How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
    Resource Type:
    Dissertation
    Full Text:
    problem of generalizing knowledge gained from previously-executed policies. Bayesian Optimization is a