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    ICML
    1997
    IEEE
    194views Machine Learning» more  ICML 1997»
    Hierarchical Explanation-Based Reinforcement Learning
    16 years 18 days ago
    Hierarchical Explanation-Based Reinforcement Learning
    Download  reference.kfupm.edu.sa
    Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
    Prasad Tadepalli, Thomas G. Dietterich
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    ML
    2011
    ACM
    152views Machine Learning» more  ML 2011»
    Characterizing reinforcement learning methods through parameterized learning problems
    14 years 2 months ago
    Characterizing reinforcement learning methods through parameterized learning problems
    Download  www.cs.utexas.edu
    Shivaram Kalyanakrishnan, Peter Stone
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    NIPS
    2008
    173views Information Technology» more  NIPS 2008»
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
    15 years 1 months ago
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
    Download  books.nips.cc
    In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
    Christoph Kolodziejski, Bernd Porr, Minija Tamosiu...
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    ICML
    1997
    IEEE
    123views Machine Learning» more  ICML 1997»
    Exponentiated Gradient Methods for Reinforcement Learning
    16 years 18 days ago
    Exponentiated Gradient Methods for Reinforcement Learning
    Download  www.cs.ualberta.ca
    Doina Precup, Richard S. Sutton
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    ICML
    2003
    IEEE
    108views Machine Learning» more  ICML 2003»
    Reinforcement Learning as Classification: Leveraging Modern Classifiers
    15 years 5 months ago
    Reinforcement Learning as Classification: Leveraging Modern Classifiers
    Download  www.cs.duke.edu
    Michail G. Lagoudakis, Ronald Parr
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