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    AAMAS
    2007
    Springer
    142views Intelligent Agents» more  AAMAS 2007»
    Parallel Reinforcement Learning with Linear Function Approximation
    14 years 10 months ago
    Parallel Reinforcement Learning with Linear Function Approximation
    Download  www.aamas-conference.org
    In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
    Matthew Grounds, Daniel Kudenko
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    FMSD
    2008
    110views more  FMSD 2008»
    Automatic symbolic compositional verification by learning assumptions
    14 years 10 months ago
    Automatic symbolic compositional verification by learning assumptions
    Download  www.personal.psu.edu
    Abstract Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically base...
    Wonhong Nam, P. Madhusudan, Rajeev Alur
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    VC
    2008
    138views more  VC 2008»
    A GPU-based light hierarchy for real-time approximate illumination
    14 years 10 months ago
    A GPU-based light hierarchy for real-time approximate illumination
    Download  ki-h.com
    Illumination rendering including environment lighting, indirect illumination, and subsurface scattering plays for many graphics applications such as games and VR systems. However, ...
    Hyunwoo Ki, Kyoungsu Oh
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    EUSFLAT
    2009
    152views Fuzzy Logic» more  EUSFLAT 2009»
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    14 years 8 months ago
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    Download  www.eusflat.org
    -- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
    Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...
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    IGARSS
    2009
    151views Remote Sensing» more  IGARSS 2009»
    High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
    14 years 7 months ago
    High Performance Computing for Hyperspectral Image Analysis: Perspective and State-of-the-art
    Download  www.umbc.edu
    The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
    Antonio Plaza, Qian Du, Yang-Lang Chang
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