Learning and planning with logical automata

Abstract We introduce a method to learn policies from expert demonstrations that are interpretable and manipulable. We achieve interpretability by modeling the interactions between high-level actions as an automaton with connections to formal logic. We achieve manipulability by integrating this auto...

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Bibliographic Details
Main Authors: Araki, Brandon (Author), Vodrahalli, Kiran (Author), Leech, Thomas (Author), Vasile, Cristian-Ioan (Author), Donahue, Mark (Author), Rus, Daniela (Author)
Format: Article
Language:English
Published: Springer US, 2021-11-15T13:15:37Z.
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