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    ICML
    2005
    IEEE
    108views Machine Learning» more  ICML 2005»
    Learning strategies for story comprehension: a reinforcement learning approach
    14 years 9 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 10 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 9 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 10 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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