Learning sparse relational transition models

Learning sparse relational transition models

© 7th International Conference on Learning Representations, ICLR 2019. All Rights Reserved. We present a representation for describing transition models in complex uncertain domains using relational rules. For any action, a rule selects a set of relevant objects and computes a distribution over prop...

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Bibliographic Details
Main Authors: Xia, Victoria F., Wang, Zi, Allen, Kelsey Rebecca, Silver, Tom, Kaelbling, Leslie P
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: 2022
Online Access:https://hdl.handle.net/1721.1/132315.2

Internet

https://hdl.handle.net/1721.1/132315.2

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