Decision making with inference and learning methods
In this work we consider probabilistic approaches to sequential decision making. The ultimate goal is to provide methods by which decision making problems can be attacked by approaches and algorithms originally built for probabilistic inference. This allows us to directly apply a wide variety of pop...
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| Language: | English |
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University of British Columbia
2013
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| Online Access: | http://hdl.handle.net/2429/44083 |