Abstraction and search for decision-theoretic planning
We investigate the use Markov Decision Processes a.s a means of representing worlds in which actions have probabilistic effects. Markov Decision Processes provide many representational advantages over traditional planning representations. As well as being able to represent actions with more than...
Main Author: | Dearden, Richard William |
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Format: | Others |
Language: | English |
Published: |
2009
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Online Access: | http://hdl.handle.net/2429/5461 |
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