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    JMLR
    2006
    143views more  JMLR 2006»
    Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
    13 years 7 months ago
    Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
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    We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
    Rémi Munos
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    NIPS
    2004
    112views Information Technology» more  NIPS 2004»
    Learning first-order Markov models for control
    13 years 8 months ago
    Learning first-order Markov models for control
    Download  books.nips.cc
    First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
    Pieter Abbeel, Andrew Y. Ng
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    DAC
    1998
    ACM
    154views Computer Architecture» more  DAC 1998»
    Computational Kernels and their Application to Sequential Power Optimization
    14 years 8 months ago
    Computational Kernels and their Application to Sequential Power Optimization
    Download  si2.epfl.ch
    Luca Benini, Giovanni De Micheli, Antonio Lioy, En...
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    NIPS
    2008
    173views Information Technology» more  NIPS 2008»
    Adapting to a Market Shock: Optimal Sequential Market-Making
    13 years 8 months ago
    Adapting to a Market Shock: Optimal Sequential Market-Making
    Download  www.cs.rpi.edu
    We study the profit-maximization problem of a monopolistic market-maker who sets two-sided prices in an asset market. The sequential decision problem is hard to solve because the ...
    Sanmay Das, Malik Magdon-Ismail
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    TIT
    2008
    90views more  TIT 2008»
    On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection
    13 years 7 months ago
    On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection
    Download  www.cs.berkeley.edu
    We consider the design of systems for sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the samp...
    XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
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