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    ATAL
    2008
    Springer
    146views Intelligent Agents» more  ATAL 2008»
    Adaptive Kanerva-based function approximation for multi-agent systems
    15 years 7 months ago
    Adaptive Kanerva-based function approximation for multi-agent systems
    Download  www.aamas-conference.org
    In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
    Cheng Wu, Waleed Meleis
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    ICMLA
    2007
    92views Machine Learning» more  ICMLA 2007»
    Control of a re-entrant line manufacturing model with a reinforcement learning approach
    15 years 6 months ago
    Control of a re-entrant line manufacturing model with a reinforcement learning approach
    Download  www.smitlab.uc.edu
    This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
    José A. Ramírez-Hernández, Em...
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    TSMC
    2002
    69views more  TSMC 2002»
    A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm
    15 years 4 months ago
    A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm
    Download  ir.lib.osaka-kyoiku.ac.jp
    An extended algorithm of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures the convergence with probability 1 to the optimal path ...
    Norio Baba, Yoshio Mogami
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    GECCO
    2009
    Springer
    79views Optimization» more  GECCO 2009»
    Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control
    15 years 11 months ago
    Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control
    Download  www.uni-wuerzburg.de
    Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. ...
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    GECCO
    2007
    Springer
    136views Optimization» more  GECCO 2007»
    Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
    15 years 11 months ago
    Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
    Download  www.illigal.uiuc.edu
    Xavier Llorà, Kumara Sastry, Tian-Li Yu, Da...
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