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    IJCAI
    2003
    130views Artificial Intelligence» more  IJCAI 2003»
    Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
    13 years 9 months ago
    Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
    Download  www.cc.gatech.edu
    We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
    Nathan Sprague, Dana H. Ballard
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    WSC
    2004
    72views Modeling And Simulation» more  WSC 2004»
    Investigation of Error Rates When Controlling Multiple Uninhabited Combat Aerial Vehicles
    13 years 9 months ago
    Investigation of Error Rates When Controlling Multiple Uninhabited Combat Aerial Vehicles
    Download  www.informs-sim.org
    As systems become more and more complex the use of automation tools becomes more important. Although automation is introduced to reduce human workload, improve situational awarene...
    Sasanka V. Prabhala, Jennie J. Gallimore
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    ACL
    1990
    89views Computational Linguistics» more  ACL 1990»
    Multiple Underlying Systems: Translating User Requests into Programs to Produce Answers
    13 years 9 months ago
    Multiple Underlying Systems: Translating User Requests into Programs to Produce Answers
    Download  acl.ldc.upenn.edu
    A user may typically need to combine the strengths of more than one system in order to perform a task. In this paper, we describe a component of the Janus natural language interfa...
    Robert J. Bobrow, Philip Resnik, Ralph M. Weisched...
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    EOR
    2008
    99views more  EOR 2008»
    Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
    13 years 8 months ago
    Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
    Download  www.lamsade.dauphine.fr
    We present a new method, called UTAGMS , for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. ...
    Salvatore Greco, Vincent Mousseau, Roman Slowinski
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    TNN
    2008
    178views more  TNN 2008»
    IMORL: Incremental Multiple-Object Recognition and Localization
    13 years 8 months ago
    IMORL: Incremental Multiple-Object Recognition and Localization
    Download  www.csse.monash.edu.au
    This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
    Haibo He, Sheng Chen
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