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    COLING
    2008
    108views Computational Linguistics» more  COLING 2008»
    Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets
    13 years 4 months ago
    Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets
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    James Henderson, Oliver Lemon, Kallirroi Georgila
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    ACL
    2008
    127views Computational Linguistics» more  ACL 2008»
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
    13 years 6 months ago
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
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    We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
    Verena Rieser, Oliver Lemon
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    ACL
    2010
    142views Computational Linguistics» more  ACL 2010»
    Optimising Information Presentation for Spoken Dialogue Systems
    13 years 2 months ago
    Optimising Information Presentation for Spoken Dialogue Systems
    Download  aclweb.org
    We present a novel approach to Information Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statistical optimisation framework for content planning and attri...
    Verena Rieser, Oliver Lemon, Xingkun Liu
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    INTERSPEECH
    2010
    175views Signal Processing» more  INTERSPEECH 2010»
    Still talking to machines (cognitively speaking)
    12 years 11 months ago
    Still talking to machines (cognitively speaking)
    Download  mi.eng.cam.ac.uk
    This overview article reviews the structure of a fully statistical spoken dialogue system (SDS), using as illustration, various systems and components built at Cambridge over the ...
    Steve Young
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    ICML
    2005
    IEEE
    188views Machine Learning» more  ICML 2005»
    High speed obstacle avoidance using monocular vision and reinforcement learning
    14 years 5 months ago
    High speed obstacle avoidance using monocular vision and reinforcement learning
    Download  ai.stanford.edu
    We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
    Jeff Michels, Ashutosh Saxena, Andrew Y. Ng
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