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    JAIR
    2008
    119views more  JAIR 2008»
    A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
    13 years 7 months ago
    A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
    Download  www.ece.utk.edu
    Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
    Sherief Abdallah, Victor R. Lesser
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    IJON
    2006
    99views more  IJON 2006»
    Learning vector quantization: The dynamics of winner-takes-all algorithms
    13 years 7 months ago
    Learning vector quantization: The dynamics of winner-takes-all algorithms
    Download  www.cs.rug.nl
    Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...
    Michael Biehl, Anarta Ghosh, Barbara Hammer
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    CORR
    2008
    Springer
    189views Education» more  CORR 2008»
    Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
    13 years 7 months ago
    Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
    Download  www.ifp.illinois.edu
    We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
    Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
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    AAAI
    2011
    246views Intelligent Agents» more  AAAI 2011»
    An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
    12 years 7 months ago
    An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
    Download  www.cs.cmu.edu
    Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
    Byron Boots, Geoffrey J. Gordon
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    NIPS
    1998
    156views Information Technology» more  NIPS 1998»
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    13 years 8 months ago
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    Download  www.cs.nyu.edu
    The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
    Zoubin Ghahramani, Sam T. Roweis
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