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  • Provably Efficient Reinforcement Learning

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    Description:
    While deep reinforcement learning achieves tremendous successes in practice, its efficiencies are rarely understood in theory. The dissertation contains three parts, with each part corresponding to the study of an independent theoretical reinforcement learning problem. The three parts in all discuss the mechanism of how (deep) reinforcement learning efficiently solves...
    Subject:
    Industrial engineering
    Creator:
    Cai, Qi
    Owner:
    Scholarly Digital Publishing
    Language:
    en
    Date Uploaded:
    09/22/2022
    Date Created:
    2022-01-01
    Resource Type:
    Dissertation
    Alternate Identifier:
    etdadmin_upload_928893 and http://dissertations.umi.com/northwestern:16255