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    IJCAI
    2003
    89views Artificial Intelligence» more  IJCAI 2003»
    Modular self-organization for a long-living autonomous agent
    15 years 9 days ago
    Modular self-organization for a long-living autonomous agent
    Download  dli.iiit.ac.in
    The aim of this paper is to provide a sound framework for addressing a difficult problem: the automatic construction of an autonomous agent's modular architecture. We briefly...
    Bruno Scherrer
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    IJCAI
    2003
    130views Artificial Intelligence» more  IJCAI 2003»
    Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
    15 years 9 days 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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    IJCAI
    2003
    111views Artificial Intelligence» more  IJCAI 2003»
    Getting Serious about the Development of Computational Humor
    15 years 9 days ago
    Getting Serious about the Development of Computational Humor
    Download  ijcai.org
    Society needs humor, not just for entertainment. In the Web age, presentations become more and more flexible and personalized and they will require hu­ mor contributions for elec...
    Oliviero Stock, Carlo Strapparava
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    IJCAI
    2003
    132views Artificial Intelligence» more  IJCAI 2003»
    Efficient Execution of Recursive Integration Plans
    15 years 9 days ago
    Efficient Execution of Recursive Integration Plans
    Download  www.isi.edu
    Information integration systems provide a uniform query interface to a set of sources. One of the key challenges for an information integration system is to provide maximally comp...
    Snehal Thakkar, Craig A. Knoblock
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    IJCAI
    2003
    87views Artificial Intelligence» more  IJCAI 2003»
    A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
    15 years 9 days ago
    A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
    Download  www.ri.cmu.edu
    This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
    Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...
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