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Hierarchical planning

A method in AI for breaking down complex tasks into smaller, manageable sub-tasks.

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The lexicon

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    What the corpus says

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    Leslie Kaelbling transitioned from philosophy to AI, leveraging symbolic systems to bridge the two fields.
    Abstraction and Markov Decision Processes (MDPs) are crucial for managing complexity and uncertainty in AI systems.
    Hierarchical planning in AI allows for breaking down long-term goals into manageable tasks, aiding robotic reasoning.
    Leslie founded the Journal of Machine Learning Research to address high costs and access issues in academic publishing.
    Engineering intelligent robots requires balancing introspection programming with training large neural networks.

    Voices on hierarchical planning

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    Go read

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