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Subject: Uncertainty Subject: Action Advising Departments: Department of Computing Science

  • Methodical Advice Collection and Reuse in Deep Reinforcement Learning

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    Spring 2022

    Sahir

    Reinforcement learning (RL) has shown great success in solving many challenging tasks via the use of deep neural networks. Although the use of deep learning for RL brings immense representational power to the arsenal, it also causes sample inefficiency. This means that the algorithms are...

  • Top-k ranking with uncertain data

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    Spring 2011

    Wang, Chonghai

    The goal of top-k ranking is to rank individuals so that the best k of them can be determined. Depending on the application domain, an individual can be a person, a product, an event, or just a collection of data or information for which an ordering makes sense. In the context of databases, top-k...

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