Learning to Plan with Logical Automata

Learning to Plan with Logical Automata

This paper introduces the Logic-based Value Iteration Network (LVIN) framework, which combines imitation learning and logical automata to enable agents to learn complex behaviors from demonstrations. We address two problems with learning from expert knowledge: (1) how to generalize learned policies...

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Bibliographic Details
Main Authors: Araki, Brandon (Author), Vodrahalli, Kiran (Author), Leech, Thomas (Author), Vasile, Cristian-Ioan (Author), Donahue, Mark D. (Author), Rus, Daniela L (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Lincoln Laboratory (Contributor)
Format: Article
Language:English
Published: Robotics: Science and Systems Foundation, 2019-12-19T20:42:45Z.
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