Planning in partially-observable switching-mode continuous domains

Planning in partially-observable switching-mode continuous domains

Continuous-state POMDPs provide a natural representation for a variety of tasks, including many in robotics. However, most existing parametric continuous-state POMDP approaches are limited by their reliance on a single linear model to represent the world dynamics. We introduce a new switching-state...

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Bibliographic Details
Main Authors: Brunskill, Emma, Roy, Nicholas, Kaelbling, Leslie P., Lozano-Perez, Tomas
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag 2014
Online Access:http://hdl.handle.net/1721.1/87035
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0001-6054-7145
https://orcid.org/0000-0002-8293-0492

Internet

http://hdl.handle.net/1721.1/87035
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0001-6054-7145
https://orcid.org/0000-0002-8293-0492

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