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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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    HIS
    2008
    127views Information Technology» more  HIS 2008»
    The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning
    13 years 9 months ago
    The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning
    Download  www.informatik.uni-hamburg.de
    In order to produce robots which can interact more effectively with humans we propose that it is necessary for their cognitive processes to be grounded in the same perceptual elem...
    Michael John Knowles, Stefan Wermter
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    ICPR
    2010
    IEEE
    223views Computer Vision» more  ICPR 2010»
    Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition Systems
    13 years 11 months ago
    Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition Systems
    Download  www.synchromedia.ca
    In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
    Abdullah Almaksour, Eric Anquetil, Solen Quiniou, ...
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    CIIA
    2009
    208views Information Technology» more  CIIA 2009»
    Dynamic Scheduling in Petroleum Process using Reinforcement Learning
    13 years 8 months ago
    Dynamic Scheduling in Petroleum Process using Reinforcement Learning
    Download  sunsite.informatik.rwth-aachen.de
    Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
    Nassima Aissani, Bouziane Beldjilali
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    AAAI
    2006
    127views Intelligent Agents» more  AAAI 2006»
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    13 years 9 months ago
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    Download  robotic.media.mit.edu
    As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
    Andrea Lockerd Thomaz, Cynthia Breazeal
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