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    AIPS
    2004
    142views Artificial Intelligence» more  AIPS 2004»
    Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
    13 years 6 months ago
    Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
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    Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
    Branislav Kveton, Milos Hauskrecht
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