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    ICML
    2005
    IEEE
    108views Machine Learning» more  ICML 2005»
    Learning strategies for story comprehension: a reinforcement learning approach
    14 years 8 months ago
    Learning strategies for story comprehension: a reinforcement learning approach
    Download  www.machinelearning.org
    This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
    Eugene Grois, David C. Wilkins
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    NAACL
    2001
    130views Computational Linguistics» more  NAACL 2001»
    Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
    13 years 9 months ago
    Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
    Download  www.aclweb.org
    Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
    Renaud Lecoeuche
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    NIPS
    1997
    113views Information Technology» more  NIPS 1997»
    Nonparametric Model-Based Reinforcement Learning
    13 years 9 months ago
    Nonparametric Model-Based Reinforcement Learning
    Download  www.cs.cmu.edu
    This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
    Christopher G. Atkeson
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    ICML
    2009
    IEEE
    172views Machine Learning» more  ICML 2009»
    Model-free reinforcement learning as mixture learning
    14 years 8 months ago
    Model-free reinforcement learning as mixture learning
    Download  user.cs.tu-berlin.de
    We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
    Nikos Vlassis, Marc Toussaint
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    ICMLA
    2008
    195views Machine Learning» more  ICMLA 2008»
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    13 years 9 months ago
    Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
    Download  www.grappa.univ-lille3.fr
    In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
    Sertan Girgin, Philippe Preux
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