Point-Based Policy Transformation: Adapting Policy to Changing POMDP Models
Motion planning under uncertainty that can efficiently take into account changes in the environment is critical for robots to operate reliably in our living spaces. Partially Observable Markov Decision Process (POMDP) provides a systematic and general framework for motion planning under uncertainty....
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| Format: | Article |
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Springer Nature America, Inc
2019
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| Online Access: | http://hdl.handle.net/1721.1/119849 https://orcid.org/0000-0003-3842-5162 |