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    EWRL
    2008
    191views Machine Learning» more  EWRL 2008»
    Bayesian Reward Filtering
    13 years 9 months ago
    Bayesian Reward Filtering
    Download  www.metz.supelec.fr
    A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
    Matthieu Geist, Olivier Pietquin, Gabriel Fricout
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    GECCO
    2004
    Springer
    122views Optimization» more  GECCO 2004»
    Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
    14 years 1 months ago
    Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
    Download  www.cs.york.ac.uk
    This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
    Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
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    ML
    2011
    ACM
    152views Machine Learning» more  ML 2011»
    Characterizing reinforcement learning methods through parameterized learning problems
    12 years 10 months ago
    Characterizing reinforcement learning methods through parameterized learning problems
    Download  www.cs.utexas.edu
    Shivaram Kalyanakrishnan, Peter Stone
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    ICML
    1997
    IEEE
    123views Machine Learning» more  ICML 1997»
    Exponentiated Gradient Methods for Reinforcement Learning
    14 years 8 months 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
    14 years 1 months ago
    Reinforcement Learning as Classification: Leveraging Modern Classifiers
    Download  www.cs.duke.edu
    Michail G. Lagoudakis, Ronald Parr
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