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    GLDV
    2001
    138views Natural Language Processing» more  GLDV 2001»
    Coherence in the Learning System k-med
    13 years 9 months ago
    Coherence in the Learning System k-med
    Download  www.uni-giessen.de
    The advantages of a hypermedia learning system are the possibility to adapt the content to the learner and to maintain the content easily due to the modular structure. The disadva...
    Ralf Steinmetz, Cornelia Seeberg, Achim Steinacker
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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 9 months ago
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
    Download  www.aclweb.org
    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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    ISCA
    2008
    IEEE
    137views Hardware» more  ISCA 2008»
    Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
    14 years 1 months ago
    Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
    Download  www.csl.cornell.edu
    Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
    Engin Ipek, Onur Mutlu, José F. Martí...
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    NIPS
    2007
    142views Information Technology» more  NIPS 2007»
    Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
    13 years 9 months ago
    Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
    Download  books.nips.cc
    We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
    J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
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    FLAIRS
    2003
    141views Artificial Intelligence» more  FLAIRS 2003»
    Learning from Reinforcement and Advice Using Composite Reward Functions
    13 years 9 months ago
    Learning from Reinforcement and Advice Using Composite Reward Functions
    Download  ranger.uta.edu
    1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
    Vinay N. Papudesi, Manfred Huber
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