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    ICAC
    2009
    IEEE
    226views Applied Computing» more  ICAC 2009»
    Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
    14 years 7 months ago
    Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
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    Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
    Ivana Dusparic, Vinny Cahill
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