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    AIPS
    2008
    83views Artificial Intelligence» more  AIPS 2008»
    Fast Planning for Dynamic Preferences
    14 years 11 months ago
    Fast Planning for Dynamic Preferences
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    We present an algorithm that quickly finds optimal plans for unforeseen agent preferences within graph-based planning domains where actions have deterministic outcomes and action ...
    Brian Ziebart, Anind K. Dey, J. Andrew Bagnell
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    AI
    2007
    Springer
    181views Artificial Intelligence» more  AI 2007»
    Learning action models from plan examples using weighted MAX-SAT
    14 years 9 months ago
    Learning action models from plan examples using weighted MAX-SAT
    Download  www.cs.ust.hk
    AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
    Qiang Yang, Kangheng Wu, Yunfei Jiang
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    AIPS
    1996
    113views Artificial Intelligence» more  AIPS 1996»
    Modeling Probabilistic Actions for Practical Decision-Theoretic Planning
    14 years 10 months ago
    Modeling Probabilistic Actions for Practical Decision-Theoretic Planning
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    Mostexisting decision-theoretic planners represent uncertainty about the state of the world with a precisely specified probability distribution over world states. This representat...
    AnHai Doan
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    AIPS
    1996
    120views Artificial Intelligence» more  AIPS 1996»
    Expressive Planning and Explicit Knowledge
    14 years 10 months ago
    Expressive Planning and Explicit Knowledge
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    Weare concerned with the implications and interactions of three commonexpressive extensions to classical planning: conditional plans, context-dependent actions, and nondeterminist...
    Robert P. Goldman, Mark S. Boddy
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    FDG
    2009
    ACM
    112views Computer Graphics» more  FDG 2009»
    Very fast action selection for parameterized behaviors
    15 years 4 months ago
    Very fast action selection for parameterized behaviors
    Download  www.cs.northwestern.edu
    In this paper, I will discuss a set of techniques for supporting limited variable binding in behavior-based systems. This adds additional useful expressivity while preserving the ...
    Ian Horswill
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