Integrated architectures for learning, planning, and reacting based on approximating dynamic programming

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Integrated architectures for learning, planning, and reacting based on approximating dynamic programming (1990)

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by Richard S. Sutton

Venue:	Proceedings of the SevenLh International Conference on Machine Learning
Citations:	562 - 22 self

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@INPROCEEDINGS{Sutton90integratedarchitectures,
    author = {Richard S. Sutton},
    title = {Integrated architectures for learning, planning, and reacting based on approximating dynamic programming},
    booktitle = {Proceedings of the SevenLh International Conference on Machine Learning},
    year = {1990},
    pages = {216--224}
}

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Abstract

gutton~gte.com Dyna is an AI architecture that integrates learning, planning, and reactive execution. Learning methods are used in Dyna both for compiling planning results and for updating a model of the effects of the agent's actions on the world. Planning is incremental and can use the probabilistic and ofttimes incorrect world models generated by learning processes. Execution is fully reactive in the sense that no planning intervenes between perception and action. Dyna relies on machine learning methods for learning from examples--these are among the basic building blocks making up the architecture--yet is not tied to any particular method. This paper

Keyphrases

dynamic programming reactive execution gutton gte ai architecture machine learning method planning result com dyna world model basic building block particular method learning method

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