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    ICML
    1995
    IEEE
    213views Machine Learning» more  ICML 1995»
    Learning Policies for Partially Observable Environments: Scaling Up
    14 years 8 months ago
    Learning Policies for Partially Observable Environments: Scaling Up
    Download  reference.kfupm.edu.sa
    Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
    Michael L. Littman, Anthony R. Cassandra, Leslie P...
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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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    IJCAI
    2007
    182views Artificial Intelligence» more  IJCAI 2007»
    Inferring Complex Agent Motions from Partial Trajectory Observations
    13 years 9 months ago
    Inferring Complex Agent Motions from Partial Trajectory Observations
    Download  www.aaai.org
    Finnegan Southey, Wesley Loh, Dana F. Wilkinson
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    ICML
    2009
    IEEE
    226views Machine Learning» more  ICML 2009»
    Large margin training for hidden Markov models with partially observed states
    14 years 8 months ago
    Large margin training for hidden Markov models with partially observed states
    Download  webia.lip6.fr
    Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
    Thierry Artières, Trinh Minh Tri Do
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    AIPS
    2000
    102views Artificial Intelligence» more  AIPS 2000»
    Learning Planning Operators in Real-World, Partially Observable Environments
    13 years 9 months ago
    Learning Planning Operators in Real-World, Partially Observable Environments
    Download  www.aaai.org
    Matthew D. Schmill, Tim Oates, Paul R. Cohen
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