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    ICML
    1997
    IEEE
    194views Machine Learning» more  ICML 1997»
    Hierarchical Explanation-Based Reinforcement Learning
    16 years 4 months 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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    241
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    ML
    2011
    ACM
    152views Machine Learning» more  ML 2011»
    Characterizing reinforcement learning methods through parameterized learning problems
    14 years 6 months ago
    Characterizing reinforcement learning methods through parameterized learning problems
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    Shivaram Kalyanakrishnan, Peter Stone
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    137
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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 5 months ago
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
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    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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    102
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    ICML
    1997
    IEEE
    123views Machine Learning» more  ICML 1997»
    Exponentiated Gradient Methods for Reinforcement Learning
    16 years 4 months ago
    Exponentiated Gradient Methods for Reinforcement Learning
    Download  www.cs.ualberta.ca
    Doina Precup, Richard S. Sutton
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    118
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    ICML
    2003
    IEEE
    108views Machine Learning» more  ICML 2003»
    Reinforcement Learning as Classification: Leveraging Modern Classifiers
    15 years 9 months ago
    Reinforcement Learning as Classification: Leveraging Modern Classifiers
    Download  www.cs.duke.edu
    Michail G. Lagoudakis, Ronald Parr
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