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    NECO
    2007
    87views more  NECO 2007»
    Reinforcement Learning State Estimator
    13 years 9 months ago
    Reinforcement Learning State Estimator
    Download  www.nc.irp.oist.jp
    cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
    Jun Morimoto, Kenji Doya
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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    14 years 10 months ago
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    Download  www.research.rutgers.edu
    The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
    Carlos Diuk, Lihong Li, Bethany R. Leffler
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    WSDM
    2012
    ACM
    214views Data Mining» more  WSDM 2012»
    Selecting actions for resource-bounded information extraction using reinforcement learning
    12 years 5 months ago
    Selecting actions for resource-bounded information extraction using reinforcement learning
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    Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
    Pallika H. Kanani, Andrew K. McCallum
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    ACL
    2012
    197views Computational Linguistics» more  ACL 2012»
    Learning High-Level Planning from Text
    12 years 5 days ago
    Learning High-Level Planning from Text
    Download  people.csail.mit.edu
    Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
    S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
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    AAAI
    2012
    205views Intelligent Agents» more  AAAI 2012»
    Kernel-Based Reinforcement Learning on Representative States
    12 years 5 days ago
    Kernel-Based Reinforcement Learning on Representative States
    Download  www.bkveton.com
    Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
    Branislav Kveton, Georgios Theocharous
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