Learning constraint-based planning models from demonstrations

© 2020 IEEE. How can we learn representations for planning that are both efficient and flexible? Task and motion planning models are a good candidate, having been very successful in long-horizon planning tasks - however, they've proved challenging for learning, relying mostly on hand-coded repr...

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Bibliographic Details
Main Authors: Loula, Joao (Author), Allen, Kelsey Rebecca (Author), Silver, Tom (Author), Tenenbaum, Joshua B (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-12-07T21:11:38Z.
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