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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer US,
2021-11-15T13:15:37Z.
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Subjects: | |
Online Access: | Get fulltext |