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    AIPS
    2006
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    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    13 years 6 months ago
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
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    We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
    Malcolm J. A. Strens
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