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...
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.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Learning and planning with logical automata
by: Araki, Brandon, et al.
Published: (2021) -
Logic and Automata History and Perspectives
Published: (2008) -
Distributed automata and logic
by: Reiter, Fabian
Published: (2017) -
Circuit design for logic automata
by: Chen, Kailiang
Published: (2010) -
Logic and Automata : History and Perspectives
Published: (2007)