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    UAI
    1998
    91views Artificial Intelligence» more  UAI 1998»
    Hierarchical Solution of Markov Decision Processes using Macro-actions
    15 years 1 months ago
    Hierarchical Solution of Markov Decision Processes using Macro-actions
    Download  www.cs.toronto.edu
    tigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and macro-...
    Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kae...
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    IOR
    2006
    163views more  IOR 2006»
    Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
    14 years 12 months ago
    Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
    Download  www.tcs.tifr.res.in
    For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
    T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
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    JAIR
    2000
    152views more  JAIR 2000»
    Value-Function Approximations for Partially Observable Markov Decision Processes
    14 years 11 months ago
    Value-Function Approximations for Partially Observable Markov Decision Processes
    Download  www.cs.pitt.edu
    Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
    Milos Hauskrecht
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    SIAMCO
    2002
    86views more  SIAMCO 2002»
    On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
    14 years 11 months ago
    On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
    Download  www.nt.ntnu.no
    The paper introduces a new detectability concept for continuous-time Markov jump linear systems with finite Markov space that generalizes previous concepts found in the literature....
    Eduardo F. Costa, João Bosco Ribeiro do Val
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    PRL
    2007
    131views more  PRL 2007»
    A new look at discriminative training for hidden Markov models
    14 years 11 months ago
    A new look at discriminative training for hidden Markov models
    Download  research.microsoft.com
    ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
    Xiaodong He, Li Deng
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