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Filtering by: Creator Gamroth, M. J. (Michael J.) Remove constraint Creator: Gamroth, M. J. (Michael J.) Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad File Format application/pdf Remove constraint File Format: application/pdf

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  • Model-based approximation methods for reinforcement learning

    Creator:
    Wang, Xin
    Abstract:
    The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...
    Resource Type:
    Dissertation
    Full Text:
    Lipschitz Continuity of ∇M ∞ θk J(θk) . . . . . . . . . 199 LIST OF FIGURES Figure Page 2.1 Performance

  • Update programming -- a safe approach to software maintenance

    Creator:
    Ren, Deling
    Abstract:
    Software maintenance accounts for a large portion of the software development cost, particularly the process of updating programs either to adapt for requirement change or to enhance design or efficiency. Currently, program updates are generally performed manually by programmers using text editors. This is an unreliable method because syntax and...
    Resource Type:
    Dissertation
    Full Text:
    &DEN1�581yF;3<1qp@()9,$ c�9,$'5jc=()&)$'9Ý(D*H5N3N1@9;M;?A58(D14*�581�587;$�*;$'?/$/EjH

  • Image feature detection and matching for biological object recognition

    Creator:
    Deng, Hongli
    Abstract:
    Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...
    Resource Type:
    Dissertation
    Full Text:
    combination of these standard faces. To generate a set of eigenfaces, images with dimension m∗n are treated